极化干涉SAR信息提取方法及其应用研究
|
摘要
干涉雷达是基于雷达对同一区域采用不同视角成像得到的两幅雷达图像组合而建立的一门技术，主要利用了雷达信号的相位信息。它已广泛的应用于地形成图和地表形变探测，近几年来，它也被用作提取地表物理参数的一种重要的工具。极化干涉雷达技术是一种将极化和干涉雷达技术集成为一体的技术。雷达干涉主要对散射体的空间分布和高度敏感，雷达极化主要对散射体的形状和方向敏感，因此极化干涉雷达对有方向散射体的分布敏感，它已被用于反演地表植被参数，特别是森林的高度参数。极化干涉雷达是雷达遥感研究的前沿之一。本文基于ERS-1／2和SIR-C／X-SAR数据，对有关干涉和极化干涉信息提取及应用课题进行了广泛的研究，特别是首次对极化干涉雷达的基础理论进行了比较深入的论述，对极化干涉信息提取和应用进行了开拓性的发展，并取得了一些创新性成果，主要创新点包括：
1．在地表植被覆盖丰富的区域，常规干涉通过公共谱段滤波不能消除一个分辨率单元内由于散射中心高度差引起的去相干，而极化干涉相干最优过程能有效的消除这种谱去相干。因此在地表植被丰富的区域，用极化干涉提取的DEM应该具有比常规干涉DEM更好的精度。因此，本文基于SIR-CL波段单视复雷达数据，提出了一套完整的由极化干涉雷达数据生成数字高程模型的数据处理算法，并对其中的几个关键问题进行了研究。通过比较和分析，结果表明极化干涉DEM具有比常规干涉DEM更高的精度。还对极化干涉雷达相对于常规干涉雷达生成数字高程模型时不同的误差源进行了分析和讨论。
2．由于极化干涉相干最优过程提供了相位散射中心的最优分离，因此用极化干涉提取地表植被参数特别是森林的高度具有比极化或干涉更大的优势。但是该反演问题属于一个六维的非线性最优化问题，存在相干系数的低消光系数、低植被和高消光系数、高植被模糊性，地形相位的等值性。因此用一般的局部最优方法，它往往会与初始解的给定有很大的关系。因此，本文提出了基于模拟加温-退火算法的地表植被参数反演算法，改善了反演的精度，。
3．以二进小波理论、相位解绕理论和干涉图的相位特性为基础，本文提出了基于二进小波的雷达干涉条纹探测相位解绕算法。和其他基于条纹探测的相位解绕算法相比，它具有以下三个优点：(1)在多尺度边缘探测的同时能显著的压制噪声对边缘探测的影响；(2)利用多尺度局部模极大值的空间一致性条件，可以得到更为准确的相位突变边缘点；(3)利用梯度矢量流的活动等高线算法，可以连接由于被噪声严重破坏的边缘和区分相隔很近的边缘。
4．由于极化干涉提供了比极化或干涉更多的信息，在土地类型的识别和分类上具有比常规的干涉和极化更大的优势。本文基于SIR-C L波段雷达数据和研究区域的土地利用图，进行了地表地物的相干最优特性分析。并利用极化干涉最优相干系数、后向散射系数和极化熵进行地表土地类型的识别与分类实验研究，获得了好的分类结果。
5．初始基线的估计是干涉雷达数据处理的重点也是难点。本文基于二维FFT
（傅立叶变换）的功率谱，实现了一个高精度估计初始基线垂直分量的算法。基
于 SIR－C L波段单视复雷达数据，利用上面算法对初始基线的垂直分量进行了估
计，同时结合从轨道数据模拟得到的基线平行分量进行了去平地相位实验，将去
平地相位以后的结果与本区域的地形图相比较，具有相同的条纹变化规律。说明
该算法估计的初始基线精度较高。
6．本文利用ERS＊ 重复轨道多时相干涉雷达数据，以昆仑山脉中段试验
区为例，分析了该区域大部分地表无积雪和有积雪覆盖时地表各种地物的干涉相
干特性，在此基础上利用相干系数、后向散射强度和后向散射强度的变化信息，
进行了地表土地类型的识别和分类，获得了较好的分类结果。
Synthetic aperture radar(SAR) interferometry is an established technique based on combining two SAR images of the same scene acquired from slightly different viewpoints. It is widely used for topographic mapping and surface change detection, moreover, in past few years, SAR interferometry has also been used to retrieve physical parameters of terrestrial surfaces. Polarimetric SAR interferometry is the technique that integrated the radar polarimetry and radar interferometry. Radar interferometry is sensitive primarily to the spatial distribution of vegetation, while polarimetry is sensitive primarily to the shape and orientation of vegetation scatters. Therefore polarimetric interferometry is sensitive to the distribution of orientated scatters. It has been used to invert the terrain surface vegetation parameters, especially for height of forest. It is a leading edge of radar remote sensing in recent years. In this dissertation, based on ERS-1/2 and SIR-C/X-SAR data, the project associating with SAR interferometry and polarimetric SAR interferometry information extraction and application have been extendedly studied. In particular, the basic theory of Polarimetric SAR Interferometry has been detailedly discussed, furthermore, the information extraction and application of Polarimetric SAR Interferometry are extendedly developed. Some new results has been obtained as follows:
1. In the area covered by rich vegetation, conventional InSAR can not remove the decorrelation caused by height difference of scattering center inside the resolution elements by spectral filtering, but Ploarimetric SAR Interferometry can effectively remove this kind of spectral decorrelation. The DEM obtained from Polarimetric SAR Interferometry should have higher accuracy than that obtained from conventional InSAR. Based on SIR-C L band complex single look data, one integrity data processing algorithm that generated DEM from Pol-InSAR data has been presented, furthermore, several key problems have been studied. The results indicate that the DEM obtained from Polarimetric SAR Interferometry have higher accuracy than that obtained from InSAR. Also, the error resources that different from the conventional InSAR have been discussed.
2. Being the coherent optimization of polarimetric SAR interferometry provided the optimal separation of phase center, it has more advantages to retrieve the terrain surface vegetation parametes than that of conventional InSAR or PolSAR. But it belong to six dimensional inversion problem, It has the ambiguity of low extinction, low height and high extinction, high height of vegetation in coherence and equivalence of topography phase. So using the conventional local optimization algorithm, it often get stuck in a local minimum when algorithm is restarted with different initial guess value. At this dissertation, the simulated annealing algorithm, which can give global solution of problem, has been implemented in order to improve the inversion accuracy.
3. Based on dyadic wavelets theory, phase unwrapping theory and the phase characteristics of interferogram. One phase unwrapping algorithm that based on interferometric fringe detection is presented, compared with the other phase unwrapping method that based on the fringe line detection, It have three advantages. First, it can suppress significantly the effects of noise when multi-scale edge detection is implemented. Second, using the space consistency condition of multi-scale local module maximum, the more accurate phase sharp variation edge can be obtained, Third, using the active contour algorithm - GVF (Gradient Vector Flow) snake, it can connect the fringe line when the phase sharp variation edge is seriously corrupted by the noise or the fringe line are closely spaced.
4. Being the polarimetric SAR interferometry provided more information than that conventional InSAR or PolSAR, It is advantageous for identification and classification of land cover. Utilizing the fully polarimetric SIR-C L band data and land-use map of study area, the
1．在地表植被覆盖丰富的区域，常规干涉通过公共谱段滤波不能消除一个分辨率单元内由于散射中心高度差引起的去相干，而极化干涉相干最优过程能有效的消除这种谱去相干。因此在地表植被丰富的区域，用极化干涉提取的DEM应该具有比常规干涉DEM更好的精度。因此，本文基于SIR-CL波段单视复雷达数据，提出了一套完整的由极化干涉雷达数据生成数字高程模型的数据处理算法，并对其中的几个关键问题进行了研究。通过比较和分析，结果表明极化干涉DEM具有比常规干涉DEM更高的精度。还对极化干涉雷达相对于常规干涉雷达生成数字高程模型时不同的误差源进行了分析和讨论。
2．由于极化干涉相干最优过程提供了相位散射中心的最优分离，因此用极化干涉提取地表植被参数特别是森林的高度具有比极化或干涉更大的优势。但是该反演问题属于一个六维的非线性最优化问题，存在相干系数的低消光系数、低植被和高消光系数、高植被模糊性，地形相位的等值性。因此用一般的局部最优方法，它往往会与初始解的给定有很大的关系。因此，本文提出了基于模拟加温-退火算法的地表植被参数反演算法，改善了反演的精度，。
3．以二进小波理论、相位解绕理论和干涉图的相位特性为基础，本文提出了基于二进小波的雷达干涉条纹探测相位解绕算法。和其他基于条纹探测的相位解绕算法相比，它具有以下三个优点：(1)在多尺度边缘探测的同时能显著的压制噪声对边缘探测的影响；(2)利用多尺度局部模极大值的空间一致性条件，可以得到更为准确的相位突变边缘点；(3)利用梯度矢量流的活动等高线算法，可以连接由于被噪声严重破坏的边缘和区分相隔很近的边缘。
4．由于极化干涉提供了比极化或干涉更多的信息，在土地类型的识别和分类上具有比常规的干涉和极化更大的优势。本文基于SIR-C L波段雷达数据和研究区域的土地利用图，进行了地表地物的相干最优特性分析。并利用极化干涉最优相干系数、后向散射系数和极化熵进行地表土地类型的识别与分类实验研究，获得了好的分类结果。
5．初始基线的估计是干涉雷达数据处理的重点也是难点。本文基于二维FFT
（傅立叶变换）的功率谱，实现了一个高精度估计初始基线垂直分量的算法。基
于 SIR－C L波段单视复雷达数据，利用上面算法对初始基线的垂直分量进行了估
计，同时结合从轨道数据模拟得到的基线平行分量进行了去平地相位实验，将去
平地相位以后的结果与本区域的地形图相比较，具有相同的条纹变化规律。说明
该算法估计的初始基线精度较高。
6．本文利用ERS＊ 重复轨道多时相干涉雷达数据，以昆仑山脉中段试验
区为例，分析了该区域大部分地表无积雪和有积雪覆盖时地表各种地物的干涉相
干特性，在此基础上利用相干系数、后向散射强度和后向散射强度的变化信息，
进行了地表土地类型的识别和分类，获得了较好的分类结果。
Synthetic aperture radar(SAR) interferometry is an established technique based on combining two SAR images of the same scene acquired from slightly different viewpoints. It is widely used for topographic mapping and surface change detection, moreover, in past few years, SAR interferometry has also been used to retrieve physical parameters of terrestrial surfaces. Polarimetric SAR interferometry is the technique that integrated the radar polarimetry and radar interferometry. Radar interferometry is sensitive primarily to the spatial distribution of vegetation, while polarimetry is sensitive primarily to the shape and orientation of vegetation scatters. Therefore polarimetric interferometry is sensitive to the distribution of orientated scatters. It has been used to invert the terrain surface vegetation parameters, especially for height of forest. It is a leading edge of radar remote sensing in recent years. In this dissertation, based on ERS-1/2 and SIR-C/X-SAR data, the project associating with SAR interferometry and polarimetric SAR interferometry information extraction and application have been extendedly studied. In particular, the basic theory of Polarimetric SAR Interferometry has been detailedly discussed, furthermore, the information extraction and application of Polarimetric SAR Interferometry are extendedly developed. Some new results has been obtained as follows:
1. In the area covered by rich vegetation, conventional InSAR can not remove the decorrelation caused by height difference of scattering center inside the resolution elements by spectral filtering, but Ploarimetric SAR Interferometry can effectively remove this kind of spectral decorrelation. The DEM obtained from Polarimetric SAR Interferometry should have higher accuracy than that obtained from conventional InSAR. Based on SIR-C L band complex single look data, one integrity data processing algorithm that generated DEM from Pol-InSAR data has been presented, furthermore, several key problems have been studied. The results indicate that the DEM obtained from Polarimetric SAR Interferometry have higher accuracy than that obtained from InSAR. Also, the error resources that different from the conventional InSAR have been discussed.
2. Being the coherent optimization of polarimetric SAR interferometry provided the optimal separation of phase center, it has more advantages to retrieve the terrain surface vegetation parametes than that of conventional InSAR or PolSAR. But it belong to six dimensional inversion problem, It has the ambiguity of low extinction, low height and high extinction, high height of vegetation in coherence and equivalence of topography phase. So using the conventional local optimization algorithm, it often get stuck in a local minimum when algorithm is restarted with different initial guess value. At this dissertation, the simulated annealing algorithm, which can give global solution of problem, has been implemented in order to improve the inversion accuracy.
3. Based on dyadic wavelets theory, phase unwrapping theory and the phase characteristics of interferogram. One phase unwrapping algorithm that based on interferometric fringe detection is presented, compared with the other phase unwrapping method that based on the fringe line detection, It have three advantages. First, it can suppress significantly the effects of noise when multi-scale edge detection is implemented. Second, using the space consistency condition of multi-scale local module maximum, the more accurate phase sharp variation edge can be obtained, Third, using the active contour algorithm - GVF (Gradient Vector Flow) snake, it can connect the fringe line when the phase sharp variation edge is seriously corrupted by the noise or the fringe line are closely spaced.
4. Being the polarimetric SAR interferometry provided more information than that conventional InSAR or PolSAR, It is advantageous for identification and classification of land cover. Utilizing the fully polarimetric SIR-C L band data and land-use map of study area, the
引文
1． Aarts E. H. L., J. H. M. Korst, Simulated Annealing and Boltzmann Machines, Chichester, Wiley, 1989, 13-81
2． Andreas N., R. Edzard, and L. Susanne, Detection of coastlines in SAR images using wavelet methods, IEEE Trans, on Geo. and Re. Sens., 2000, Vol. 38, No. 5, pp.2270-2281
3． Askne J. H., P. B. G Dammert, L. M. H. Ulander, G Smith, C-Band Repeat-Pass Interferometric SAR Observations of the Forest, IEEE Trans. Geosci. Remote Sensing, 1997, Vol. 35, No. 1, pp25-35
4． Atkinson C. H., L. C. Smith, Delineation of Delta Ecozones Using Interferometric SAR Phase Coherence Mackerzie River Delta, N. W. T, Canada, Remote Sensing of Environment, 2001, Vol. 78, pp229-238
5． Bamler R., P. Haiti, Synthetic Aperture Radar Interferometry, Inverse Problem, 1998, Vol. 14, ppl-54
6． Bao M. Q., C. Burning, W. Alpers, Simulation of Ocean Waves Imaging by an Along-Track Interferometric Synthetic Aperture Radar, IEEE Transactions on Geoscience and Remote Sensing, 1997, Vol. 35, No.3, PP618-613
7． Bao M. Q., W. Alpers, C. Burning, A New Nonlinear Integral Transform Relating Ocean Wave Spectra to Phase Image Spectra of an Along-Track Interferometric Synthetic Aperture Radar, IEEE Transactions on Geoscience and Remote Sensing, 1999, Vol. 37, No.1, pp461-466
8． Boemer W. M., J. S. Lee, Recent Advances in Extra-Wide-Band Muti-Modal Pol-In-SAR Imaging, IGARASS2001． 2001
9． Boemer W. M., W. Wiesbeck et al, Direct and Inverse Methods In Radar Polarimetry, Kluwer Academic Publishers, 1989
10． Bonforte A., A. Ferretti, C. Prati, G Puglisi, F. Rocca, Calibration of Atmospheric Effects on SAR Interferograms by GPS and Local Atmosphere Models: First Results, Jounal of Atmospheric and Solar-Terrestrial Physics, 2001, Vol. 63, pp1343-1357
11． Cameron W. L., L. K. Leung, Feature Motivated Polarization Scattering Matrix Decomposition, In Proc. IEEE Int. Radar Conf., 1990, pp549-557
12． Canny J., A Computational Approch to to Edge Detection, IEEE Trans. Patt. Anal. Machine Intell., 1986,PAMI-8(4) , pp.679-698
13． Carande R., Estimating Ocean Coherence Time Using Dual-Baseline Interferometric Synthetic Aperture Radar, IEEE Transactions on Geoscience and Remote Sensing, 1994, Vol. 32, No.4, pp846-854
14． Cattabeni M., A. M. Guamieri, and F. Rocca, Estimation and improvement of coherence in SAR interferogram, 1994, IGARSS1994, pp720-722
15． Chandra M., W. Keydel, Influence of Propagation Phase-Shifts in Polarimetric SAR Interferometry, IGARSS2000, 2000
16． Cloude S. R. and K. P. Papathanassiou, Polarimetric SAR interferometry", IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, pp1551-1565, Sept
17． Cloude S. R., A Review of Target Decomposition Theorem in Radar Polarimetry, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 2, pp498-518
18． Cloude S. R., E. Pottier, An Entropy Based Classification Scheme for Land Application of Polarimetric SAR, IEEE Trans. Geosci. Remote Sensing, 1997a, Vol. 35, No. 1, pp68-78
19． Cloude S. R., E. Pottier, Concept of Polarization Entropy in Optical Scattering, Optical Engineering, 1995, Vol.34, No.6, pp1599-1610
20． Cloude S. R., J. Fortuny, J. M. Lopez-Sanchez, A. J. Sieber, Wide-Band Polarimetric Radar Inversion Studi.es
for Vegetation Layers, IEEE Transactions on Geosciences and Remote Sensing, 1999, Vol. 37, No. 5, pp2430-2441
21． Cloude S. R., K. P. Papathanassiou, A. Reigber, W. M. Boerner, Multi-Fruquency Polarimetric SAR Interferometry for Vegetation Struture Extraction, IGARSS2000, 2000
22． Cloude S. R., K. P. Papathanassiou, I. Woodhouse, J. Hope, J. C. S. Minguez, P. Osbome, G Wright, The Glen Affric Project: Forest Mapping Using Polarimetricf Radar Interferometry, IGARSS2001, 2001
23． Cloude S. R., K. P. Papathanassiou, Polarimetric Optimisation in Radar Interferometry, Electronics Letters, 1997b, Vol. 33, No. 13, pp1176-1178
24． Cloude S. R., K. P. Papathanassiou, Polarimetric SAR Interferometry, SPffi, 1997c, Vol. 3120, pp224-235
25． Cloude S. R., The Physical Interpretation of Eigenvalue Problem in Optical Scattering Polarimetry, SPIE, 1997d, Vol. 3121, pp88-99
26． Cloude S. R., Uniqueness of Target Decomposition Theorems In Radar Polarimetry, Direct and Inverse Methods in Radar Polarimetry, Part 1,1992, pp267-296
27． Cloude S. R., Wide Band Radar Inversion Studies Using the Entropy-Alpha Decomposition, SPIE, 1997e, Vol. 3120, pp118-129
28． Cohen L. D., On the active contour models and balloons, CVGIP: image Understand., 1991, vol. 53, pp.211-218
29． Colesanti C., A. Ferretti, F. Ferrucci, C. Prati, and F. Rocca, Monitoring Known Sesmic Faults using Permanent Scatterers(PS) Technique, IGARSS2000, 2000
30． Costantini M., A Novel Phase Unwrapping Method Based on Network Programming, IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, No. 3, pp813-821
31． Costantini M., A. Farina, F. Zirlli, A Fast Phase Unwrapping Algorithm for SAR Interferometry, EEEE Trans. Geosci. Remote Sensing, 1999, Vol. 37, No. 1, pp452-460
32． David C. Mason and Ian J. Davenport, Accurate and Efficient Determination of the Shoreline In ERS-1 SAR Images, IEEE Trans, on Geo. and Rem. Sens., 1996, Vol. 34, No.5, pp. 1243-1253
33． Davidson G W., R. Bamler, Mutiresolution Phase Unwrapping for SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 1999, Vol. 37, No. 1, pp163-174
34． Durden S. L., J. J. VanZyl, H. A. Zebker, Moedeling and Observation of the Radar Polarization Signiture of Forested Areas, IEEE Transactions on Geosciences and Remote Sensing, 1989, Vol. 27, No. 3, pp290-301
35． Engdahl M. E., M. Borgeaud, and M. Rast, The Use of ERS-1/2 Tandem Interferometric Coherence in the Estimation of Agricultural Crop Heights, IEEE Transactions on Geosciences and Remote Sensing, 2001, Vol. 39, No. 8, pp1799-1806
36． Evans D. L., T. G Farr, J. J. Van Zyl, H. A. Zebker, Radar Polarimetry: Analysis Tools and Applications, IEEE Trans. Geosci. Remote Sensing, 1988, Vol. 26, No. 6, pp774-789
37． Ferretti A., C. Prati, and F Rocca,. Permanent Scatterers in SAR interferometry, 1999, IGARSS1999, 1999a, pp1528-1530
38． Ferretti A., C. Prati, and F. Rocca, Analysis of Permanent Scatterers in SAR interferometry, IGARSS2000, 2000a, pp1528-1530
39． Ferretti A., C. Prati, and F. Rocca, M. Guamieri, Mutibaseline SAR Interferometry for Automatic DEM Reconstrution, Fringe'96, 1996
40． Ferretti A., C. Prati, and F. Rocca, Mutibaseline InSAR DEM Reconstrution: The Wavelet Approach, IEEE Transactions on Geosciences and Remote Sensing, 1999b, Vol. 37, No. 2, pp705-715
41． Ferretti A., C. Prati, and F. Rocca, Mutibaseline SAR interferometry for Automatic DEM Reconstruction, in Proc. 3rf ERS Symp, 1997, Florence, Italy
42． Ferretti A., C. Prati, and F. Rocca, Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, .2001, Vol. 39, pp. 8-20
43． Ferretti A., C. Prati, and F. Rocca, Permanent Scatterers in SAR interferometry, IEEE Trans. Geosci. Remote Sensing, 2000b, Vol. 38, pp. 2202-2212
44． Ferretti A., C. Prati, and F. Rocca, Permanent Scatterers in SAR interferometry, SPIE, 1999c, Vol. 3869, pp. 139-145
45． Ferretti A., F. Ferrucci, C. Prati, and F. Rocca, SAR Analysis of Building Collapse by means of the Permanent Scatters Techniques, 2000c, IGARSS2000, pp3219-3221
46． Ferro-Famil L., E. Poitter, J. S. Lee, Unsupervised Classification of Multifrequency and Fully Polarimetric SAR Images Based on the H/A/Alpha-Wishart Classifer, EEEE Trans. Geosci. Remote Sensing, 2001． Vol. 39, No. 11,pp2332-2341
47． Flynn T. J., Two-Dimensional Phase Unwrapping with Minimum Weighted Discontinuity, Joimal of the Optical Society of America A, 1997, Vol. 14, No. 14, pp2692-2701
48． Fomaro G, A. M. Guarnieri, Minimum Mean Square Error Space-Vareying Filtering of Interferometric SAR Data, IEEE Transactions on Geoscience and Remote Sensing, 2002, Vol. 40, No.1, pp11-21
49． Franklin, J. F., and T. A. Spies, Ecological definitions of old-growth Douglas-fir forests, in Wildlife and Vegetation of Unmanaged Douglas-Fir Forests, edited by L. Ruggiero, pp61-69, Gen. Tech. Rep. PNW-GTR-285, U.S. Dep. Of Agric. Pac. Northwest Res. Stn., Portland, Oreg., 1991
50． Fransson J. E., G Smith, J. Askne, H. Olsson, Stem Volume Estimation in Boreal Forests Using ERS-1/2 Coherence and SPOT XS Optical Data, International Journal of Remote Sensing, 2001, Vol22, No.14, pp2777-2791
51． Freeman A., A. B. Chapman, J. Cruz, J. C. Kim, S. Shaffer, J. Sun, Sarabandi K., SIR-C Data Quality and Calibration Results, IEEE Trans. Geosci. Remote Sensing, 1995, Vol. 33, No. 4, pp848-857
52． Fung A. K., Microwave Scattering and Emission Models and Theirs Applications, Artech House, 1994
53． Gabriel A. K., R. M. Goldstein and H A Zebker, Mapping small elevation changes over large areas: Differential radar interferometry. J. Geophys. Res., 1989, 94(B7) : 9183-9191
54． Gabriel A. K., R. M. Goldstein, Crossed orbit interferometry: theory and experimental results from SIR-B, International Journal of Remote Sensing, 1988,9: 857-872
55． Gabriel F. C., P. W. Fieguth, Probabilistic Cost Functions for Network Flow Phase Unwrapping, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 5, pp2192-2201
56． Gatelli F, A. M. Guarnieri, F. Parizzi, P. Pasquali, C. Prati, F. Rocca, The Wavenumber Shift in SAR Interferometry, EEEE Transactions on Geosciences and Remote Sensing, 1994, Vol. 32, No. 4, pp855-864
57． Ghiglia D. C., M. D. Pritt, Two-Dimensional Phase Unwrapping-Theory, Algorithm, and software, John Wileys & Sons, 1998
58． Ghiglia D. C.and L. A. Romero, 1994, Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods, J. Opt. Soc. Am. A 11, pp. 107-117
59． Goldstein R M, H. A. Zebker, and C. L. Werner, Satellite radar interferometry: Two-dimensional phase unwrapping, Radio Science, 1988, 23: 713-720
60． Goldstein R. M., H. Engelhardt, B. Kamb, and R M Frolich, Satellite radar interferometry for monitoring ice sheet motion: Application to an Antarctic ice stream. Science, 1993,262, 1525-1530
61． Graham L. C., Synthetic Interferometer Radar for Topographic Mapping, Proceedings of IEEE, 1974, Vol. 62, pp763-768
62． Gray A. L., P. J. Farris-Manning, Repeat-Pass Interferometry with Airborne Synthetic Aperture Radar, IEEE Trans. Geosci. Remote Sensing, 1993, Vol. 31, No. 1, ppl80-191
63． Guissard A., Muller and Kennaugh Matrices in Radar Polarimetry, IEEE Transactions on Geosciences and
Remote Sensing, 1994, Vol. 32, No. 3, pp590-597
64． Guneriussen T., K. A. Hogda, H. Johnsen, I. Lauknes, InSAR for Estimation of Changes in Snow Water Equivalent of Dry Snow, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 10, pp2101-2108
65． Hagberg J. O., L. M. H. Ulander, and J. Askne, Repeat-pass SAR interferometry over forested terrain, IEEE Trans. Geosci. Remote Sensing, 1995, Vol. 33, pp331-240,
66． Hanssen R. F, T. M. Weckwerth, H. A. Zebker, R. Klees, High-Resolution Water Vapor Mapping from Interferometric Radar Measurement, Science, 1999, Vol. 283, pp1297-1299
67． Hassen R. E, Radar Interferometry-Data Interpretation and Error Analysis, Kluwer Academic Publishers, 2001
68． Hellmann M., S. R. Cloude, K. P. Papathanassiou, Interpretation of SAR Data Using Polarimetric and Interferometric Techniques, SPIE, 1997, Vol3120, pp255-266
69． Henderson F. M., A. J. Lewis, Manual of Remote Sensing (Third Edition, Volume 2) , John Wiely & Sons, Inc., 1998
70． Hiroshi Kimura and Masahiro Todo, Baseline Estimation Using Ground Points for Interferometric SAR, 1997, IGARSS1997, pp442-444
71． Hoen E. W., H. A. Zebker, Penetration Depths Inferred from Interferometric Volume Decorrelation Observed over the Greenland Ice Sheet, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 6, pp2571-2583
72． Hubbert J., Chandrasekar V, Bringi V. N., Radar and Optical Polarimetry: a Comparative Study, SPIE, 1992, Vol. 1748, pp31-46
73． Huynen J. R., Phenomenological Theory of Radar Targets, Electromagnetic Scattering, 1978, pp653-713
74． Ishimaru A., Wave Propagation and Scattering in Random Media, 1978, Vol. 1, pp9-17
75． Isola M., S. R. Cloude, Forest Height Mapping Using Space-borne Polarimetric SAR Interferometry, IGARSS2001, 2001
76． Joughin I. R., D. P. Winebrenner, Effective Number of Looks for a Multilook Interferometric Phase Distribution, IGARSS'94, 1994, pp2276-2278
77． Joughin I., L. Gray, R. Bindschadler, S. Price, D. Morse, C. Hulbe, K. Mattar, C. Werner, Tributaries of West Antarctic Ice Streams Revealed by RADARSAT Interferometry, Science, 1999, Vol. 286, pp283-285
78． Just D., M. Schwabisch, R. Bamler, Comparison of Phase Unwrapping Algorithm for SAR Interferograms, IGARSS'95, 1995, pp767-769
79． Just D., R. Bamler, Phase Statistics of Interferograms with Applications to Synthetic Aperture Radar, Applied Optics, 1994, Vol. 33, No.20, pp4361-4368
80． Kass M., A.Witkin and D. Terzopoulos, "Snake: active contour models", Int. J. Comput. Vis., 1987, Vol.1, pp321-331
81． Kim Y. J., J. J. Van Zyl, A. H. Chu, Preliminary Results of Single Pass Polarimetric SAR Interferometry, IGARSS1999, 1999
82． Kim Y. J., J. J. Van Zyl, Polarimetric and Interferometric SAR Calibration Verification Methods, IGARSS'Ol, 2001
83． Kim Y. J., J. J. Van Zyl, Polarimetric and Interferometric SAR Calibration Vertification Methods, IGARSS'01, 2001
84． Kimura H., A Method to Estimate Baseline and Platform Altitude for SAR Interferometry, IGARSS'95, 1995, pp199-201
85． Kimura H., Y. Yamaguchi, Detection of Landslide Areas Using Satellite Radar Interferometry, Photogrammetric Engineering & Remote Sensing, 2000, Vol. 66, No. 3, 337-344
86． Kirkaptrick S., C. D. Gelatt, and M. P.Vecchi, Science, 1983, Vol. 220, pp. 671-680
87． Kirkaptrick S., Journal of Statical Physics, 1984, vol. 34, pp. 975-986
88． Knedlik S., O. Loffeld, A. Hein, C. Amdt, A Novel Approach to Accurate Baseline Estimation, IGARSS'99, 1999
89． Kobayashi Y., K. Sarabandi, and M. C. Dobson, An Evaluation of the JPL TOPSAR for Extractiong Tree Heights, IEEE Transactions on Geosciences and Remote Sensing, 2000, Vol. 38, No. 6, pp2446-2454
90． Koch K. R., Parameter Estiamtion and Hypothesis Testing in Linear Models, Springer-Verlag, New York, 1999, 2nd edn
91． Kong J. A., Polarimetric Remote Sensing, Elsevier, 1990
92． Koskinen J. T., J. T. Pulliainen, J. M. Hyyppa, M. E. Engdahl, M. T. Hallikainen, The Seasonal Behavior of Interferometric Coherence in Boreal Forest, IEEE Transactions on Geosciences and Remote Sensing, 2001, Vol. 39, No. 4, pp820-829
93． Kostinski A. B., W. M. Boerner, On Foundations of Radar Polarimetry, IEEE Transactions on Antennals and Propagation, 1986, Vol. AP34, No. 12, pp1395-1403
94． Krogager E., A New decomposition of the Radar Target Scattering Matrix, Electron. Lett., 1990, Vol. 26, No.18,pp1525-1526
95． Krogager E., A. Freeman, Three Component Break-Downs of Scattering Matrices for Radar Target Identification and Classification, In Proc. PIERS.94, 1994, pp391
96． Krogager E., Z. H. Czyz, Properties of Sphere, Diplane, Helix Decomposition, In Proc. 3rd Int. Workshop on Radar Polarimetry, 1995, pp106-114
97． Lanari, R., P. Lundgren, and E. Sansosti, Dynamic deformation of Enta volcano observed by satellite radar interferometry, Geophys, Res. Lett., 1998, 25, 1541-1544,
98． Lang R. H., Electromagnetic Backscattering from a Sparse Distribution of Lossy Dielectric Scatterers, Radio Science, 1981, Vol. 16, pp15-30
99． Lee H., J. G Liu, Analysis of Topographic Decorrelation in SAR Interferometry Using Ratio Coherence Imagery, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 2, pp223-232
100． Lee J. S., K. W. Hoppel, S. A. Mango, A.R. Miller, Intensity and Phase Statics of Multilook Polarimetric and Interferometric SAR Imagery, IEEE Transactions on Geosciences and Remote Sensing, 1994, Vol. 32, No. 5, pp1017-1028
101． Lee J. S., T. L. Ainsworth, K. P. Papathanassiou, A. Reigber, Speckle Filtering of SAR Data for Polarimetric Interferometry Applciations, IGARSS1999, 1999
102． Li F K, R. M. Goldstein, Studies of multibaseline spacebome interferometric synthetic aperture radar. IEEE Trans, on Geo. and Rem. Sens., 1990, Vol.28, No.1, pp. 88-96
103． Lin Q., J. F. Vescky, and H. A. Zebker, phase unwrapping through fringe-line detection in synthetic aperture radar Interferometry, Applied Optics, 1994, Vol. 33, No. 2, pp.201-208
104． Lin Q., J. F. Vesecky, and H. A. Zebker, New approaches in interferometric SAR data processing, IEEE Trans, on Geo. and Rem. Sens., 1992, Vol. 49, pp.2-11．
105． Liu J. G, A. Black, H. Lee, H. Hanaizumi and J. M. Moore, Land Surface Change Detection in a Desert Area in Algeria Using Multi-Temporal ERS SAR Coherence Images, International Journal of Remote Sensing, 2001, Vol22, No.13, pp2463-2477
106． Lopez-Sanchez J. M., J. A. Fortuny, J. Sieber, L. Sagues, M. Bara, X. Fabregas, A. Broquetas, Experimental Comparison of Differential Scattering Mechanism Selections for Vegetation Height Retrieval by POLINT, IGARSS2000, 2000
107． Lopez-Sanchez J. M., L. Sagues, J. Fortuny, X. Fabregas, A. Broquetas, A. J. Sieber and S. R. Cloude, Laboratory Experiments of Polarimetric Radar Interferometry: DEM Generation and Vegetation Height Estimation, IGARSS1999, 1999
108． Luneburg E., S. R. Cloude, Contractions, Hadamard Products and their Application to Polarimetric Radar
Interferometry, IGARSS1999, 1999
109． Mallat S., Characterization of Signals from Multiscale Edges, IEEE Trans. Signal Processing, 1994, Vol. 42,No.1,pp.710-732．
110． Mallat S., W. L. Hwang, Singularity Detection and Processing with Wavelets", IEEE Trans. Inform. Theory, 1992, Vol. 38, No.2, pp.617-643
111． Margot J. L., Campbell D. B., R. F. Jurgens, M. A. Slade, Digital Elevation Models of the Moon From Earth-Based Radar Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, ppl!22-1133
112． Marliani F., S. Paloscia, P. Pampaloni, J. A. Kong, Simulating Coherent Backscattenng From Crops During the Growing Cycle, IEEE Transactions on Geoscience and Remote Sensing, 2002, Vol. 40, No.1, pp162-177
113． Massonnet D, M Feigl, M. Rossi and F. Adragna, Radar interferometric mapping of deformation in the year after the Landers earthquake. Nature, 1994, 369:227-230
114． Massonnet D, M. Rossi, C. Carmona, et al., The displacement field of the Landers earthquake mapped by radar interferometry. Nature, 1993a, 34(6433) : 138-142
115． Massonnet D., Displacement Fields Mapped by Radar Interferometry, Proceedings of CRCM'93, 1993b, pp139-145
116 Massonnet D., H. Vadon, M. Rossi, Reduction of the Need for Phase Unwrapping in Radar Interferometry, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 2, pp489-497
117． Massonnet D., K. L. Feigl, Radar Interferometry and Its Application to Changes in the Earth's Surface, Reviews of Geophysics, 1998, Vol. 36, No.4, pp441-500
118． Massonnet, D., P. Briole, and A. Arnaud, Deformation of Mount Enta moniterd by spaceborne radar interferometry, Nature, 1995, 375, 567-570,
119． Massonnet, D., T. Holzer, and H. Vadon, Land subsidence caused by the East Mesa geometrical field, California, observed using radar interferometry, Geophys. Res. Lett., 1997, 24, 901-904
120． Mattar K. E., P. W. Vachon, D. Geudtner, A. L. Gray, I. G Gumming, and M. Brugman, Validation of Alpine Glacier Velocity Measurements Using ERS Tandem-Mission SAR Data, IEEE Transactions on Geosciences and Remote Sensing, 1998, Vol. 36, No. 3, pp974-984
121． Moghaddam M., Effects of Medium Symmetries in Limiting the Number of Parameters Estimated with Polarimetry Interferometry, IGARSS1999, 1999
122． Moghaddam M., Effects of Medium Symmetries on Parameter Estimation With Polarimetric Interferometry, Jounal of Electromagnetic and Applciations, 2000, Vol. 14, pp173-184
123． Moghaddam M., S. Saatchi, Analysis of Scattering Mechanisms in SAR Imagery over Boreal Forest:ResuIts from BOREAS'93, IEEE Transactions on Geosciences and Remote Sensing, 1995, Vol. 33, No. 5, pp1290-1296
124． Mooney, H. A., and R. J. Hobbs, Remote Sensing of Biosphere Function, In Ecological Studies, 1990, vol. 79, edited by R. J. Hobbs and H. A. Mooney, pp. 1-4, Springer-Verlag, New York
125． Moran M. S., D. C. Hymer, J. G Qi, Y. Kerr, Comparison of ERS-2 SAR and Landsat TM Imagery for Monitoring Agricultural Crop and Soil Conditions, Remote Sensing of Environment, 2002, Vol. 79, pp243-252
126． Mrstik V, G V. Jr., G Cardillo, and M. Fennell, Terrain Height Measurement Accuracy of Interferometric Synthetic Aperture Radars, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 1, pp219-228
127． Neilson, R. P., A model for predicting continental-scale vegetation distribution and water balance, Ecol. Appl., 5, 362-385, 1995
128． Nghiem S. V, S. H. Yueh, R. Kwok, and F. K. Li, Symmetry Properties in Polarimetric Remote Sensing, Radio Science, 1992, Vol. 27, No.5, pp693-711
129． Nico G, J. F. Guasch, J. M. Lopez-Sanchez, L. Sagues, A. J. Sieber, Coherence Optimization by Polarimetric Interferometry for Phase Unwrapping, 1GARSS2000, 2000
130． Papathanassiou K. P. and J. R. Moreira, Interferometric Analysis of Multifrequency and Multipolarization SAR Data, Proc. of Geos. Remote Sensing, IEEE, 1996, Vol 4:1227-1229
131． Papathanassiou K. P. and S. R. Cloude, Single-Baseline Polarimetric SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 11, pp2352-2363, November
132． Papathanassiou K. P., Polarimetric SAR Interferometry, Ph. D. thesis, 1999
133． Papathanassiou K. P., S. R. Cloude, Phase Decomposition in Polarimetry SAR Interferometry, IGARSS1998, 1998
134． Papathanassiou K. P., S. R. Cloude, Polarimetric Effects in Repeat-Pass SAR Interferometry, IGARSS1997, 1997, pp1926-1928
135． Papathanassiou K. P., S. R. Cloude, Reigber A. and W. M. Boerner, Multi-baseline Polarimetric SAR Interferometry for Vegetation Parameters Estimation, Proc. of Geos. Remote Sensing, IEEE, 2000, Vol 6: 2762-2764
136． Peltzer G K. W. Hudnut and K. L. Feigl, Analysis of coseismic surface displacement gradients using radar interferometry: New insights into the Landers earthquake. Journal of Geophysical Research, 1994, 99(B11) : 21971-21981
137． Peltzer G, Frederic Crampe and Geoffrey King, Evidence of Nonlinear Elasticity of the Crust from the Mw7． 6 Manyi(Tibet) Earthquake, Science, Vol. 286, October 1999, pp272-276
138． Peltzer G, P. Rosen, Surface Displacement of the 17 May 1993 Eureka Valley, California, Earthquake Observed by SAR Interferometry, Science, 1993, 268:1333-1336
139． Poitter E., S. R. Cloude, Application of the Polarimelric Decomposition Theorem for Land Classification, SPIE, 1997, Vol.3120, pp132-143
140． Prati C., F. Rocca, A. M. Guarnieri, E. Damonti, Seismic Migration For SAR Focusing: Interfeometrical Applications, IEEE Transactions on Geosciences and Remote Sensing, 1990, Vol. 28, No. 4, pp627-640
141． Press W. H., B. P. Flannery, S. A. Teukolsky, W. T. Vetterling, Numerical Recipes: The Art of Scientific Computing, London, Cambridge University Press, 1986, 326-334
142． Price E. J., D. T. Sandwell, Small-scale Deformations Associated with the 1992 Landers, California, Earthquake Mapped by Synthetic Aperture Radar Interferometric Phase Gradients, Jounal of Geophysical Research, 1998, Vol. 103, No. B11, pp27001-27016
143． Pritt M. D., J. S. Shipman, Least-Squares Two-Dimensional Phase Unwrapping Using FFT's, IEEE Trans. Geosci. Remote Sensing, 1994, Vol. 32, No. 3, pp706-708
144． Pritt M. D., Phase Unwrapping by Means of Multigrid Techniques for Interferometric SAR, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 3, pp728-738
145． Quegan S., A Unified Algorithm for Phase and Cross-Talk Calibration of Polarimetnc Data-Theory and Observations, IEEE Trans. Geosci. Remote Sensing, 1994, Vol. 32, No. 1, pp89-99
146． Reigber A., A. Moreira, First Demostration of Airborne SAR Tomography Using Multibaseline L-band Data, IEEE Transactions on Geosciences and Remote Sensing, 2000, Vol. 38, No. 5, pp2142-2152
147． Reigber C., Y. Xia, H. Kaufrnann, L. Timmen, J. Bodechtel, Impact of Precise Orbits on SAR Interferometry, Fringe'96, 1996
148． Riccardo Lanari, G Fornaro, D. Riccio, M. Migliaccio, K. P. Papathanassiou, R. Moreira, M. Schwabisch, L. Durta, Puglisi Giuseppe, G Franceschetti and M. Coltelli, Generation of Digital Elevation Models by Using SIR-C/X-SAR Multifrequency Two-Pass Interferometry: The Etna Case Study, IEEE Trans. Geosci. Remote
Sensing, 1996, Vol. 34, No. 5, pp1097-1114
149． Rignot E. J., S. P. Gogineni, W. B. Krabill, S. Ekholm, North and Northeast Greenland Ice Discharge from Satellite Radar Interferometry, Science, 1997, Vol. 276, pp934-937
150． Rodriguez E., J. M. Martin, Theory and Design of Interferometric Systhetic Aperture Radars, IEE Proceedings-F, 1992, Vol.139, No.2, pp!47-159
151． Rogers A. E. and R. P. Ingalls, Mapping the Surface Reflectivity by Radar Interferometry, Science, 1969, Vol. 165, pp797-799
152． Rosen P. A., S.Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez, R. M. Goldstein, Synthetic Aperture Radar Interferometry, Proceedings of the IEEE, 2000, Vol. 88, No. 3, pp333-381
153． Rufino G, A. Moccia, S. Esposito, DEM Generation by Means of ERS Tandem Data, IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, No. 6, pp1905-1912
154． Sagues L., J. M. Lopez-Sanchez et al., Indoor Experiments on Polarimetric SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, pp671-684, March.
155． Sagues L., J. M. Lopez-Sanchez, J. Fortuny, X. Fabregas, A. Broquetas, A. J. Sieber, Polarimetric Radar Interferometry for Improved Mine Detection and Surface Clutter Rejection, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 6, pp1271-1278
156． Sarabandi K., Calibration of Polarimtric Synthetic Aperture Radar Using a Known Distributed Target, IEEE Trans. Geosci. Remote Sensing, 1994, Vol. 32, No. 3, pp575-582
157． Sarabandi K., Y. C. Li, Simulation of Interferometric SAR Response for Characterizing the Scattering Phase Center Statistics of Forest Canopies, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 1, pp115-125
158． Scharroo, R. and P. N. A. M. Visser, and G J. Mets, Precise orbit determination and gravity field improvement for the ERS satellites, 1998, J. Geophys. Res., 103, C4, pp8113-8127
159． Schou J., H. Skriver, Restoration of Polarimetric SAR Images Using Simulated Annealing, IEEE Transactions on Geoscience and Remote Sensing, 2001, Vol. 39, No.9, pp2005-2016
160． Schuler D. L., J. S. Lee, G D. Grandi, Measurement of Topography Using Polarimetric SAR Images, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 5, pp1266-1277
161． Schulz-Stellenfleth J., J. Horstmann, S. Lehner, W. Rosenthal, Sea Surface Imaging With an Across-Track Interferometric Synthetic Aperture Radar: The SINEWAVE Experiment, IEEE Transactions on Geoscience and Remote Sensing, 2001, Vol. 39, No.9, pp2017-2028
162． Schulz-Stellenfleth J., S. Lehner, Ocean Wave Imaging Using an Airborne Single Pass Across-Track Interferometric SAR, IEEE Transactions on Geoscience and Remote Sensing, 2001, Vol. 39, No.1, pp38-45
163． Seymour M. S., I. G Cumming, Maximum Likelihood Estimation For SAR Interferometry, IGARSS'94, 1994, pp2272-2275
164． Shimama M., H. Wakabayashi, T. Tadono, Q. Muthar, T. Kobayashi, Possibility Study on Estimating Tree Height Distribution Using a L-Band Polarimetric-Interferometric Airborne SAR, SPIE, 2000, Vol. 4152． pp347-354
165． Singh K., N. Stussi, K. L. Keong, L. Hock, Baseline Estimation In Interferometric SAR. IGARSS.97, 1997
166． Small D., Charles Werner and Daniel Nuesch, Baseline Modelling for ERS-1 SAR Interferometry, 1996a, Proceedings IGARSS'1996, pp1204-1206
167． Small D., Paolo Pasquali, and Stefan Fuglistaler, A Comparision of Phase to Height Conversion Methods for SAR Interferometry, 1996b, Proceedings, IGARSS'1996, pp342-344
168． Spagnolini U., 2-D Phase Unwrapping and Instantaneous Frequency Estimation, IEEE Transactions on Geosciences and Remote Sensing, 1995, Vol. 33, No. 3, pp579-589
169． Stebler O., R. Brodbeck, P. Pasquali, D. Nilesch, Mutibaseline POL-InSAR Experiment for the scattering
Processing and Their Spatial Distribution Within Vegetation Layers, IGARSS2000, 2000
170． Strozzi T., P. B. G Dammert, U. Wegmuller, J. M. Martinez, J. I. H. Askne, A. Beaudoin, M. T. Hallikainen, Landuse Mapping with ERS SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, pp766-775
171． Treuhaft R. N. and S. R. Cloude, The Struture of Oriented Vegetation from Polarimetric Interferometry, IEEE Trans,. Geosci. Remote Sensing, 1999, Vol. 37, No. 5, pp2620-2624
172． Treuhaft R. N., and P. R. Siqueira, The Vertical Strtiture of Vegetated Land Surfaces from Interferometric and Polarimetric Radar, Radio Sci., 2000, vol. 35, no. 1, pp. 141-177
173 Treuhaft R. N., M. Moghaddam, B. J. Yoder, Forest Vertical Struture From Multibaseline Interferornetric Radar For Studying Growth and Productivity, IGARSS1997, 1997, pp 1884-1886
174 Treuhaft R. N., S. N. Madsen, M. Moghaddam, and J. J. Van Zyl, Vegetation Characteristics and Underlying Topography from Interferometric data, Radio Sci., 1996, vol. 31, pp. 1449-1495
175． Treuhaft R., M. Moghaddam, J. J. VanZyl, K. Sarabandi, Estimating Vegetation and Surface Topographic Parameters From Multbaseline Radar Interferometry, IGARSS1996, 1996, pp978-980
176． Trouve E., Nicolas J. M., Maitre H., Improving Phase Unwrapping Techniques by the Use of Local Frequency Estimates, IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, No. 6,pp1963-1972
177． Tsang L., J. A. Kong, R. T. Shin, Theory of Microwave Remote Sensing, John Wileys & Sons, 1985
178． Ulaby F. T., C. Elachi, Radar Polarimetry for Geoscience Applications, Artech House, 1990
179． Ulaby F. T., D. Held, M. C. Dobson, K. C. Mcdonald, Thomas B. A., Relating Polarization Phase Difference of SAR Signals to Scene Properties, IEEE Trans. Geosci. Remote Sensing, 1987, Vol. GE-25, No. 1, pp83-92
180． Ulaby F. T., R. K. Moore, A. K. Fung, Microwave Remote Sensing-active and passive(VolumeⅢ) From Theory to Applications, Artech House, 1986
181． Ulander L. M. H., Accuracy of Using Point Targets for SAR Calibration, IEEE Transactions on Aerospace and Electronic Systems, 1991, Vol. 27, No. 1, pp 139-148
182． Van Laarhoven P. J. M., E. H. L. Aarts, Simulated Annealing: Theory and Application, Dordrecht, Reidel, 1987, 59-60
183 Van Zyl J. J., Application of Cloude's Target Decomposition Theorem to Polarimetric Imaging Radar Data, SPIE, 1992, Vol. 1748, pp184-191
184． Van Zyl J. J., Calibration of Polarimetric Radar Images Using Only Image Parameters and Trihedral Corner Reflector Respones, IEEE Trans. Geosci. Remote Sensing, 1990, Vol. 28, No. 3, pp337-348
185． Van Zyl J. J., H. A. Zebker and C. Elachi, Imaging Radar Polarization Signitures:Theory and Observation, Radio Science, 1987, Vol. 22, No. 4, pp529-543
186． Vishvjit S. N., T. O. Binford, On Detecting Edge, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, Vol. PAMI-8, No. 6, pp699-714
187． Waring, R. H., J. Way, R. Hunt Jr., L. Morrissey, K. J. Rason, J. F. Weishampel, R. Oren, and S. E. Franklin, Imaging Radar for Ecosystem Studies, Bioscience, 1995, 45, 715-723
188． Wegmuller U., C. L. Werner, and P. A. Rosen, Derivation of terrain slope from SAR interferometric phase gradient, 1993, in 2nd ERS-1 User Symp., Hamberg, Germany, pp711-716
189． Wegmuller U., C. L. Werner, Retrieval of vegetation parameters with SAR inteiferometry, IEEE Trans. Geosci. Remote Sensing., 1997, Vol.35, pp18-24
190． Wegmuller U., C. L. Werner, SAR Interferometric Signitures of Forest, IEEE Trans. Geosci. Remote Sensing, 1995, Vol. 33, No. 5, pp1153-1161
191． Wegmuller U., T. Strozzi, T. Farr, C. L. Werner, Arid Land Surface Characterization with Repeat-Pass SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, pp776-781
192． Weydahl D. J., Analysis of ERS SAR Coherence Images Acquired over Vegetated Areas and Urban Features,
International Journal of Remote Sensing, 2001, Vol. 22, No. 14, pp2811-2830
193． Weydahl D. J., Analysis of ERS Tandem SAR Coherence From Glaciers, Valleys, and Fjord Ice on Svalband, IEEE Transactions on Geosciences and Remote Sensing, 2001, Vol. 39, No. 9, pp2029-2039
194． William M. B., Synthetic Aperture Radar, IEEE Transactions on Aerospace and Electronic Systems, 1967, Vol. AES-3, No. 2, PP217-229
195 Williams S., Y Bock, P. Fang, Integrated Satellite Interferometry: Tropospheric Nois, GPS Estimates and Implications for Inteiferometric Synthetic Aperture Radar Products, Jounal of Geophysical Research, 1998, pp27051-27067
196． Wimmer C., R. Siegmund, M. Schwabisch, I. Moreira, Generation of High Precision DEMs of the Wadden Sea with Airborne Interferometric SAR, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 5, pp2234-2245
197． Xu C. Y, J. L. Prince, Gradient Vector Flow: A New External Force for Snakes, IEEE Proc. Conf. on Comp. Vis. Patt. Recog(CVPR'97) , 1997, pp66-71
198． Xu C., Prince J. L., IEEE Trans. Image Processing, 1998, Vol. 7, No. 3, pp359-369
199． Yamada H., Y. Yamaguchi, E. Rodriguez, Y. Kim, W. M. Boemer, Polarimetric SAR Interferometry for Forest Canopy Analysis by Using the Super-Resolution Method, IGARSS2001, 2001
200． Yoshimitsu Okada, Surface Deformation duo to Shear and Tesile Faults in a Half-Space, Bulletin the Seismological Society of America, 1985, Vol. 75, No. 4, pp1135-1154
201． Yue Z., D. Li, and J. L. van Gendern, Wavelet transform for noise reduction of SAR interferogram, in Wavelet Applications V1, H. H. Szu, Ed., Orlando, Apr.6-8, 1999, vol. 3723 of proc. SPIE, PP.208-213
202． Zebker H. A. and J. Villasenor, Decorrelation in interferometric radar echoes. IEEE Trans. Geosci. Remote Sensing, 1992, 30(5) :950-959
203． Zebker H. A.. C. L. Werner et al., Accuracy of Topographic Maps Derived from ERS-1 Interferometric Radar, IEEE Trans. Geosci. Remote Sensing, 1994a, Vol. 32, No. 4, pp823-836．
204． Zebker H. A., Interferometric SAR processing tutorial, http://EE.STANFORD.EDU/-ZEBKER. 1994
205． Zebker H. A., J. J. Van Zyl, D. N. Held, Imaging Radar Polarimetry From Wave Synthesis, Journal of Geophysical Research, 1987, Vol. 92, No. B1, pp683-701
206． Zebker H. A., J. J. VanZyl, S. L. Durden, L. Norikane, Calibrated Imaging Radar Polarimetry: Technique, Example, and Applications, IEEE Trans. Geosci. Remote Sensing, 1991, Vol. 29, No. 6, pp942-961
207． Zebker H. A., P. A. Rosen and Scott Hensley, Atmospheric effects in interferomeric systhetic aperture radar surface deformation and topographic maps, J. Geophys. Res., 1997, 102(B4) :7547-7563
208． Zebker H. A., P. Rosen, R. M. Goldstein, A. Gabriel and C. L. Werner, On the derivation of coseismic displacement fields using differential radar interferometry: The Landers earthquake. J. Geophys. Res., 1994b, 99:19617-19634
209． Zebker H. A., R M Goldstein, Topographic mapping from interferometry synthetic aperture radar observations. Journal of Geophysical Research, 1986, Vol. 91, pp.4993-4999
210． Zebker H. A., Y. L. Lou, Phase Calibration of Imaging Radar Polarimeter Stokes Matrices, IEEE Trans. Geosci. Remote Sensing, 1990, Vol. 28, No. 2, pp246-252
211． Zebker H. A., Y. P. Lu, Phase Unwrapping Algorithms for Radar Interferometry:Residue-Cut, Least-Squares, and Synthesis Algorithms, J. Opt. Soc. Am., 1998, Vol. 15, No. 3, pp586-598
212． Elachi C．著，王松皋，胡筱欣，王维和，刘虹译，遥感的物理学和技术概论，气象出版社．北京．1995
213． Press W.H．，S．A．Teukolsky,W.T.VetteRLing，B．P．Flannery,著，傅祖芸，赵梅娜，丁岩等译，C语言数 值算法程序大全(第二版)，电子工业出版社，北京，1995
214． 陈宝林，最优化理论与算法，清华大学出版社，北京，1989
215．陈逢时，编著，子波变换理论及其在信号处理中的应用，国防工业出版社，北京，1998
216．陈述彭，童庆禧，郭华东，主编，遥感信息机理研究，科学出版社，北京1998
217．崔锦泰，著，程正兴译，小波分析导论，西安交通大学出版社，西安，1995
218．董庆，粗糙海面电磁散射的极化特征分析与应用研究，中科院遥感应用研究所博士论文，北京，2000
219．郭华东等著，雷达对地观测理论与应用，科学出版社，北京2000
220．合恩R．A．，C．R．约翰逊，著，杨奇译，矩阵分析，天津大学出版社，天津，1989
221．解可新，韩立兴，林友联，最优化方法，天津大学出版社，天津，2001
222．金亚秋，著，电磁散射和热辐射的遥感理论，科学出版社，北京，1998
223．康立山，谢云，尤矢勇，罗祖华，著，非数值并行算法—模拟退火算法(第一册)，科学出版社，北京，2000
224．孔J．A．著，霍美瑜译，电磁波理论，人民教育出版社，北京，1980
225．李建华．利用卫星图像研究西藏羌塘及邻区的断裂活动性．地震地质，1998，20(3)：201-207．
226．刘勇，康立山，陈毓屏，著，非数值并行算法—遗传算法(第二册)，科学出版社，北京，2000
227．彭玉华，著，小波变换与工程应用，科学出版社，北京，1999
228．齐震，水稻的微波散射模型，中科院遥感应用研究所硕士论文，北京，1999
229．秦前清，杨宗凯，编著，实用小波分析，西安电子科技大学出版社，西安，1998
230．邵芸，水稻时域散射特征分析及其应用研究，中科院遥感应用研究所博士论文，北京，2000
231．王超，刘智，张红，单新建，张北—尚义地震同震形变场雷达差分干涉测量，科学通报，Vol．45，No．23，2000,pp2550-2554
232．王翠珍，极化SAR数据分析与目标信息提取，中科院遥感应用研究所博士论文，北京，1999
233．王世一，编著，数字信号处理，北京理工大学出版社，2000
234．乌拉比F T，R．K．穆尔，冯健超著，微波遥感(第二卷)雷达遥感和面目标的散射、辐射理论，科学出版社，北京，1987
235．乌拉比F．T．，R．K．穆尔，冯健超著，微波遥感(第一卷)微波遥感基础和辐射测量学，科学出版社，北京，1987
236．吴祁耀，随机过程，国防工业出版社，北京，1987
237．谢处方，饶克谨，电磁场与电磁波，高等教育出版社，北京，1979
238．谢云，尤矢勇，模拟退火算法冷却进度表的参数选取，武汉大学学报-并行计算专刊，1991a，pp71-82
239．谢云，尤矢勇，一种并行的模拟退火算法—加温退火法，武汉大学学报-并行计算专刊，1991b，pp49-58．
240．杨文采，著，地球物理反演的理论与方法，地质出版社，北京，1997
241．俞卞章，李志钧，金明录，编著，数字信号处理，西北工业出版社，西安，1995
242．袁亚湘，孙文瑜，著，最优化理论与方法，科学出版社，北京，2001
243．赵家升，杨显清，王园，胡皓全，电磁场与波，电子科技大学出版社，成都，1997
244．中国科学院青藏高原综合科学考察队．青藏高原地质构造．北京：科学出版社，1982．
245．庄钊文，肖顺平，王雪松，著，雷达极化信息处理及其应用，国防工业出版社，北京，1999
2． Andreas N., R. Edzard, and L. Susanne, Detection of coastlines in SAR images using wavelet methods, IEEE Trans, on Geo. and Re. Sens., 2000, Vol. 38, No. 5, pp.2270-2281
3． Askne J. H., P. B. G Dammert, L. M. H. Ulander, G Smith, C-Band Repeat-Pass Interferometric SAR Observations of the Forest, IEEE Trans. Geosci. Remote Sensing, 1997, Vol. 35, No. 1, pp25-35
4． Atkinson C. H., L. C. Smith, Delineation of Delta Ecozones Using Interferometric SAR Phase Coherence Mackerzie River Delta, N. W. T, Canada, Remote Sensing of Environment, 2001, Vol. 78, pp229-238
5． Bamler R., P. Haiti, Synthetic Aperture Radar Interferometry, Inverse Problem, 1998, Vol. 14, ppl-54
6． Bao M. Q., C. Burning, W. Alpers, Simulation of Ocean Waves Imaging by an Along-Track Interferometric Synthetic Aperture Radar, IEEE Transactions on Geoscience and Remote Sensing, 1997, Vol. 35, No.3, PP618-613
7． Bao M. Q., W. Alpers, C. Burning, A New Nonlinear Integral Transform Relating Ocean Wave Spectra to Phase Image Spectra of an Along-Track Interferometric Synthetic Aperture Radar, IEEE Transactions on Geoscience and Remote Sensing, 1999, Vol. 37, No.1, pp461-466
8． Boemer W. M., J. S. Lee, Recent Advances in Extra-Wide-Band Muti-Modal Pol-In-SAR Imaging, IGARASS2001． 2001
9． Boemer W. M., W. Wiesbeck et al, Direct and Inverse Methods In Radar Polarimetry, Kluwer Academic Publishers, 1989
10． Bonforte A., A. Ferretti, C. Prati, G Puglisi, F. Rocca, Calibration of Atmospheric Effects on SAR Interferograms by GPS and Local Atmosphere Models: First Results, Jounal of Atmospheric and Solar-Terrestrial Physics, 2001, Vol. 63, pp1343-1357
11． Cameron W. L., L. K. Leung, Feature Motivated Polarization Scattering Matrix Decomposition, In Proc. IEEE Int. Radar Conf., 1990, pp549-557
12． Canny J., A Computational Approch to to Edge Detection, IEEE Trans. Patt. Anal. Machine Intell., 1986,PAMI-8(4) , pp.679-698
13． Carande R., Estimating Ocean Coherence Time Using Dual-Baseline Interferometric Synthetic Aperture Radar, IEEE Transactions on Geoscience and Remote Sensing, 1994, Vol. 32, No.4, pp846-854
14． Cattabeni M., A. M. Guamieri, and F. Rocca, Estimation and improvement of coherence in SAR interferogram, 1994, IGARSS1994, pp720-722
15． Chandra M., W. Keydel, Influence of Propagation Phase-Shifts in Polarimetric SAR Interferometry, IGARSS2000, 2000
16． Cloude S. R. and K. P. Papathanassiou, Polarimetric SAR interferometry", IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, pp1551-1565, Sept
17． Cloude S. R., A Review of Target Decomposition Theorem in Radar Polarimetry, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 2, pp498-518
18． Cloude S. R., E. Pottier, An Entropy Based Classification Scheme for Land Application of Polarimetric SAR, IEEE Trans. Geosci. Remote Sensing, 1997a, Vol. 35, No. 1, pp68-78
19． Cloude S. R., E. Pottier, Concept of Polarization Entropy in Optical Scattering, Optical Engineering, 1995, Vol.34, No.6, pp1599-1610
20． Cloude S. R., J. Fortuny, J. M. Lopez-Sanchez, A. J. Sieber, Wide-Band Polarimetric Radar Inversion Studi.es
for Vegetation Layers, IEEE Transactions on Geosciences and Remote Sensing, 1999, Vol. 37, No. 5, pp2430-2441
21． Cloude S. R., K. P. Papathanassiou, A. Reigber, W. M. Boerner, Multi-Fruquency Polarimetric SAR Interferometry for Vegetation Struture Extraction, IGARSS2000, 2000
22． Cloude S. R., K. P. Papathanassiou, I. Woodhouse, J. Hope, J. C. S. Minguez, P. Osbome, G Wright, The Glen Affric Project: Forest Mapping Using Polarimetricf Radar Interferometry, IGARSS2001, 2001
23． Cloude S. R., K. P. Papathanassiou, Polarimetric Optimisation in Radar Interferometry, Electronics Letters, 1997b, Vol. 33, No. 13, pp1176-1178
24． Cloude S. R., K. P. Papathanassiou, Polarimetric SAR Interferometry, SPffi, 1997c, Vol. 3120, pp224-235
25． Cloude S. R., The Physical Interpretation of Eigenvalue Problem in Optical Scattering Polarimetry, SPIE, 1997d, Vol. 3121, pp88-99
26． Cloude S. R., Uniqueness of Target Decomposition Theorems In Radar Polarimetry, Direct and Inverse Methods in Radar Polarimetry, Part 1,1992, pp267-296
27． Cloude S. R., Wide Band Radar Inversion Studies Using the Entropy-Alpha Decomposition, SPIE, 1997e, Vol. 3120, pp118-129
28． Cohen L. D., On the active contour models and balloons, CVGIP: image Understand., 1991, vol. 53, pp.211-218
29． Colesanti C., A. Ferretti, F. Ferrucci, C. Prati, and F. Rocca, Monitoring Known Sesmic Faults using Permanent Scatterers(PS) Technique, IGARSS2000, 2000
30． Costantini M., A Novel Phase Unwrapping Method Based on Network Programming, IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, No. 3, pp813-821
31． Costantini M., A. Farina, F. Zirlli, A Fast Phase Unwrapping Algorithm for SAR Interferometry, EEEE Trans. Geosci. Remote Sensing, 1999, Vol. 37, No. 1, pp452-460
32． David C. Mason and Ian J. Davenport, Accurate and Efficient Determination of the Shoreline In ERS-1 SAR Images, IEEE Trans, on Geo. and Rem. Sens., 1996, Vol. 34, No.5, pp. 1243-1253
33． Davidson G W., R. Bamler, Mutiresolution Phase Unwrapping for SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 1999, Vol. 37, No. 1, pp163-174
34． Durden S. L., J. J. VanZyl, H. A. Zebker, Moedeling and Observation of the Radar Polarization Signiture of Forested Areas, IEEE Transactions on Geosciences and Remote Sensing, 1989, Vol. 27, No. 3, pp290-301
35． Engdahl M. E., M. Borgeaud, and M. Rast, The Use of ERS-1/2 Tandem Interferometric Coherence in the Estimation of Agricultural Crop Heights, IEEE Transactions on Geosciences and Remote Sensing, 2001, Vol. 39, No. 8, pp1799-1806
36． Evans D. L., T. G Farr, J. J. Van Zyl, H. A. Zebker, Radar Polarimetry: Analysis Tools and Applications, IEEE Trans. Geosci. Remote Sensing, 1988, Vol. 26, No. 6, pp774-789
37． Ferretti A., C. Prati, and F Rocca,. Permanent Scatterers in SAR interferometry, 1999, IGARSS1999, 1999a, pp1528-1530
38． Ferretti A., C. Prati, and F. Rocca, Analysis of Permanent Scatterers in SAR interferometry, IGARSS2000, 2000a, pp1528-1530
39． Ferretti A., C. Prati, and F. Rocca, M. Guamieri, Mutibaseline SAR Interferometry for Automatic DEM Reconstrution, Fringe'96, 1996
40． Ferretti A., C. Prati, and F. Rocca, Mutibaseline InSAR DEM Reconstrution: The Wavelet Approach, IEEE Transactions on Geosciences and Remote Sensing, 1999b, Vol. 37, No. 2, pp705-715
41． Ferretti A., C. Prati, and F. Rocca, Mutibaseline SAR interferometry for Automatic DEM Reconstruction, in Proc. 3rf ERS Symp, 1997, Florence, Italy
42． Ferretti A., C. Prati, and F. Rocca, Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, .2001, Vol. 39, pp. 8-20
43． Ferretti A., C. Prati, and F. Rocca, Permanent Scatterers in SAR interferometry, IEEE Trans. Geosci. Remote Sensing, 2000b, Vol. 38, pp. 2202-2212
44． Ferretti A., C. Prati, and F. Rocca, Permanent Scatterers in SAR interferometry, SPIE, 1999c, Vol. 3869, pp. 139-145
45． Ferretti A., F. Ferrucci, C. Prati, and F. Rocca, SAR Analysis of Building Collapse by means of the Permanent Scatters Techniques, 2000c, IGARSS2000, pp3219-3221
46． Ferro-Famil L., E. Poitter, J. S. Lee, Unsupervised Classification of Multifrequency and Fully Polarimetric SAR Images Based on the H/A/Alpha-Wishart Classifer, EEEE Trans. Geosci. Remote Sensing, 2001． Vol. 39, No. 11,pp2332-2341
47． Flynn T. J., Two-Dimensional Phase Unwrapping with Minimum Weighted Discontinuity, Joimal of the Optical Society of America A, 1997, Vol. 14, No. 14, pp2692-2701
48． Fomaro G, A. M. Guarnieri, Minimum Mean Square Error Space-Vareying Filtering of Interferometric SAR Data, IEEE Transactions on Geoscience and Remote Sensing, 2002, Vol. 40, No.1, pp11-21
49． Franklin, J. F., and T. A. Spies, Ecological definitions of old-growth Douglas-fir forests, in Wildlife and Vegetation of Unmanaged Douglas-Fir Forests, edited by L. Ruggiero, pp61-69, Gen. Tech. Rep. PNW-GTR-285, U.S. Dep. Of Agric. Pac. Northwest Res. Stn., Portland, Oreg., 1991
50． Fransson J. E., G Smith, J. Askne, H. Olsson, Stem Volume Estimation in Boreal Forests Using ERS-1/2 Coherence and SPOT XS Optical Data, International Journal of Remote Sensing, 2001, Vol22, No.14, pp2777-2791
51． Freeman A., A. B. Chapman, J. Cruz, J. C. Kim, S. Shaffer, J. Sun, Sarabandi K., SIR-C Data Quality and Calibration Results, IEEE Trans. Geosci. Remote Sensing, 1995, Vol. 33, No. 4, pp848-857
52． Fung A. K., Microwave Scattering and Emission Models and Theirs Applications, Artech House, 1994
53． Gabriel A. K., R. M. Goldstein and H A Zebker, Mapping small elevation changes over large areas: Differential radar interferometry. J. Geophys. Res., 1989, 94(B7) : 9183-9191
54． Gabriel A. K., R. M. Goldstein, Crossed orbit interferometry: theory and experimental results from SIR-B, International Journal of Remote Sensing, 1988,9: 857-872
55． Gabriel F. C., P. W. Fieguth, Probabilistic Cost Functions for Network Flow Phase Unwrapping, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 5, pp2192-2201
56． Gatelli F, A. M. Guarnieri, F. Parizzi, P. Pasquali, C. Prati, F. Rocca, The Wavenumber Shift in SAR Interferometry, EEEE Transactions on Geosciences and Remote Sensing, 1994, Vol. 32, No. 4, pp855-864
57． Ghiglia D. C., M. D. Pritt, Two-Dimensional Phase Unwrapping-Theory, Algorithm, and software, John Wileys & Sons, 1998
58． Ghiglia D. C.and L. A. Romero, 1994, Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods, J. Opt. Soc. Am. A 11, pp. 107-117
59． Goldstein R M, H. A. Zebker, and C. L. Werner, Satellite radar interferometry: Two-dimensional phase unwrapping, Radio Science, 1988, 23: 713-720
60． Goldstein R. M., H. Engelhardt, B. Kamb, and R M Frolich, Satellite radar interferometry for monitoring ice sheet motion: Application to an Antarctic ice stream. Science, 1993,262, 1525-1530
61． Graham L. C., Synthetic Interferometer Radar for Topographic Mapping, Proceedings of IEEE, 1974, Vol. 62, pp763-768
62． Gray A. L., P. J. Farris-Manning, Repeat-Pass Interferometry with Airborne Synthetic Aperture Radar, IEEE Trans. Geosci. Remote Sensing, 1993, Vol. 31, No. 1, ppl80-191
63． Guissard A., Muller and Kennaugh Matrices in Radar Polarimetry, IEEE Transactions on Geosciences and
Remote Sensing, 1994, Vol. 32, No. 3, pp590-597
64． Guneriussen T., K. A. Hogda, H. Johnsen, I. Lauknes, InSAR for Estimation of Changes in Snow Water Equivalent of Dry Snow, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 10, pp2101-2108
65． Hagberg J. O., L. M. H. Ulander, and J. Askne, Repeat-pass SAR interferometry over forested terrain, IEEE Trans. Geosci. Remote Sensing, 1995, Vol. 33, pp331-240,
66． Hanssen R. F, T. M. Weckwerth, H. A. Zebker, R. Klees, High-Resolution Water Vapor Mapping from Interferometric Radar Measurement, Science, 1999, Vol. 283, pp1297-1299
67． Hassen R. E, Radar Interferometry-Data Interpretation and Error Analysis, Kluwer Academic Publishers, 2001
68． Hellmann M., S. R. Cloude, K. P. Papathanassiou, Interpretation of SAR Data Using Polarimetric and Interferometric Techniques, SPIE, 1997, Vol3120, pp255-266
69． Henderson F. M., A. J. Lewis, Manual of Remote Sensing (Third Edition, Volume 2) , John Wiely & Sons, Inc., 1998
70． Hiroshi Kimura and Masahiro Todo, Baseline Estimation Using Ground Points for Interferometric SAR, 1997, IGARSS1997, pp442-444
71． Hoen E. W., H. A. Zebker, Penetration Depths Inferred from Interferometric Volume Decorrelation Observed over the Greenland Ice Sheet, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 6, pp2571-2583
72． Hubbert J., Chandrasekar V, Bringi V. N., Radar and Optical Polarimetry: a Comparative Study, SPIE, 1992, Vol. 1748, pp31-46
73． Huynen J. R., Phenomenological Theory of Radar Targets, Electromagnetic Scattering, 1978, pp653-713
74． Ishimaru A., Wave Propagation and Scattering in Random Media, 1978, Vol. 1, pp9-17
75． Isola M., S. R. Cloude, Forest Height Mapping Using Space-borne Polarimetric SAR Interferometry, IGARSS2001, 2001
76． Joughin I. R., D. P. Winebrenner, Effective Number of Looks for a Multilook Interferometric Phase Distribution, IGARSS'94, 1994, pp2276-2278
77． Joughin I., L. Gray, R. Bindschadler, S. Price, D. Morse, C. Hulbe, K. Mattar, C. Werner, Tributaries of West Antarctic Ice Streams Revealed by RADARSAT Interferometry, Science, 1999, Vol. 286, pp283-285
78． Just D., M. Schwabisch, R. Bamler, Comparison of Phase Unwrapping Algorithm for SAR Interferograms, IGARSS'95, 1995, pp767-769
79． Just D., R. Bamler, Phase Statistics of Interferograms with Applications to Synthetic Aperture Radar, Applied Optics, 1994, Vol. 33, No.20, pp4361-4368
80． Kass M., A.Witkin and D. Terzopoulos, "Snake: active contour models", Int. J. Comput. Vis., 1987, Vol.1, pp321-331
81． Kim Y. J., J. J. Van Zyl, A. H. Chu, Preliminary Results of Single Pass Polarimetric SAR Interferometry, IGARSS1999, 1999
82． Kim Y. J., J. J. Van Zyl, Polarimetric and Interferometric SAR Calibration Verification Methods, IGARSS'Ol, 2001
83． Kim Y. J., J. J. Van Zyl, Polarimetric and Interferometric SAR Calibration Vertification Methods, IGARSS'01, 2001
84． Kimura H., A Method to Estimate Baseline and Platform Altitude for SAR Interferometry, IGARSS'95, 1995, pp199-201
85． Kimura H., Y. Yamaguchi, Detection of Landslide Areas Using Satellite Radar Interferometry, Photogrammetric Engineering & Remote Sensing, 2000, Vol. 66, No. 3, 337-344
86． Kirkaptrick S., C. D. Gelatt, and M. P.Vecchi, Science, 1983, Vol. 220, pp. 671-680
87． Kirkaptrick S., Journal of Statical Physics, 1984, vol. 34, pp. 975-986
88． Knedlik S., O. Loffeld, A. Hein, C. Amdt, A Novel Approach to Accurate Baseline Estimation, IGARSS'99, 1999
89． Kobayashi Y., K. Sarabandi, and M. C. Dobson, An Evaluation of the JPL TOPSAR for Extractiong Tree Heights, IEEE Transactions on Geosciences and Remote Sensing, 2000, Vol. 38, No. 6, pp2446-2454
90． Koch K. R., Parameter Estiamtion and Hypothesis Testing in Linear Models, Springer-Verlag, New York, 1999, 2nd edn
91． Kong J. A., Polarimetric Remote Sensing, Elsevier, 1990
92． Koskinen J. T., J. T. Pulliainen, J. M. Hyyppa, M. E. Engdahl, M. T. Hallikainen, The Seasonal Behavior of Interferometric Coherence in Boreal Forest, IEEE Transactions on Geosciences and Remote Sensing, 2001, Vol. 39, No. 4, pp820-829
93． Kostinski A. B., W. M. Boerner, On Foundations of Radar Polarimetry, IEEE Transactions on Antennals and Propagation, 1986, Vol. AP34, No. 12, pp1395-1403
94． Krogager E., A New decomposition of the Radar Target Scattering Matrix, Electron. Lett., 1990, Vol. 26, No.18,pp1525-1526
95． Krogager E., A. Freeman, Three Component Break-Downs of Scattering Matrices for Radar Target Identification and Classification, In Proc. PIERS.94, 1994, pp391
96． Krogager E., Z. H. Czyz, Properties of Sphere, Diplane, Helix Decomposition, In Proc. 3rd Int. Workshop on Radar Polarimetry, 1995, pp106-114
97． Lanari, R., P. Lundgren, and E. Sansosti, Dynamic deformation of Enta volcano observed by satellite radar interferometry, Geophys, Res. Lett., 1998, 25, 1541-1544,
98． Lang R. H., Electromagnetic Backscattering from a Sparse Distribution of Lossy Dielectric Scatterers, Radio Science, 1981, Vol. 16, pp15-30
99． Lee H., J. G Liu, Analysis of Topographic Decorrelation in SAR Interferometry Using Ratio Coherence Imagery, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 2, pp223-232
100． Lee J. S., K. W. Hoppel, S. A. Mango, A.R. Miller, Intensity and Phase Statics of Multilook Polarimetric and Interferometric SAR Imagery, IEEE Transactions on Geosciences and Remote Sensing, 1994, Vol. 32, No. 5, pp1017-1028
101． Lee J. S., T. L. Ainsworth, K. P. Papathanassiou, A. Reigber, Speckle Filtering of SAR Data for Polarimetric Interferometry Applciations, IGARSS1999, 1999
102． Li F K, R. M. Goldstein, Studies of multibaseline spacebome interferometric synthetic aperture radar. IEEE Trans, on Geo. and Rem. Sens., 1990, Vol.28, No.1, pp. 88-96
103． Lin Q., J. F. Vescky, and H. A. Zebker, phase unwrapping through fringe-line detection in synthetic aperture radar Interferometry, Applied Optics, 1994, Vol. 33, No. 2, pp.201-208
104． Lin Q., J. F. Vesecky, and H. A. Zebker, New approaches in interferometric SAR data processing, IEEE Trans, on Geo. and Rem. Sens., 1992, Vol. 49, pp.2-11．
105． Liu J. G, A. Black, H. Lee, H. Hanaizumi and J. M. Moore, Land Surface Change Detection in a Desert Area in Algeria Using Multi-Temporal ERS SAR Coherence Images, International Journal of Remote Sensing, 2001, Vol22, No.13, pp2463-2477
106． Lopez-Sanchez J. M., J. A. Fortuny, J. Sieber, L. Sagues, M. Bara, X. Fabregas, A. Broquetas, Experimental Comparison of Differential Scattering Mechanism Selections for Vegetation Height Retrieval by POLINT, IGARSS2000, 2000
107． Lopez-Sanchez J. M., L. Sagues, J. Fortuny, X. Fabregas, A. Broquetas, A. J. Sieber and S. R. Cloude, Laboratory Experiments of Polarimetric Radar Interferometry: DEM Generation and Vegetation Height Estimation, IGARSS1999, 1999
108． Luneburg E., S. R. Cloude, Contractions, Hadamard Products and their Application to Polarimetric Radar
Interferometry, IGARSS1999, 1999
109． Mallat S., Characterization of Signals from Multiscale Edges, IEEE Trans. Signal Processing, 1994, Vol. 42,No.1,pp.710-732．
110． Mallat S., W. L. Hwang, Singularity Detection and Processing with Wavelets", IEEE Trans. Inform. Theory, 1992, Vol. 38, No.2, pp.617-643
111． Margot J. L., Campbell D. B., R. F. Jurgens, M. A. Slade, Digital Elevation Models of the Moon From Earth-Based Radar Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, ppl!22-1133
112． Marliani F., S. Paloscia, P. Pampaloni, J. A. Kong, Simulating Coherent Backscattenng From Crops During the Growing Cycle, IEEE Transactions on Geoscience and Remote Sensing, 2002, Vol. 40, No.1, pp162-177
113． Massonnet D, M Feigl, M. Rossi and F. Adragna, Radar interferometric mapping of deformation in the year after the Landers earthquake. Nature, 1994, 369:227-230
114． Massonnet D, M. Rossi, C. Carmona, et al., The displacement field of the Landers earthquake mapped by radar interferometry. Nature, 1993a, 34(6433) : 138-142
115． Massonnet D., Displacement Fields Mapped by Radar Interferometry, Proceedings of CRCM'93, 1993b, pp139-145
116 Massonnet D., H. Vadon, M. Rossi, Reduction of the Need for Phase Unwrapping in Radar Interferometry, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 2, pp489-497
117． Massonnet D., K. L. Feigl, Radar Interferometry and Its Application to Changes in the Earth's Surface, Reviews of Geophysics, 1998, Vol. 36, No.4, pp441-500
118． Massonnet, D., P. Briole, and A. Arnaud, Deformation of Mount Enta moniterd by spaceborne radar interferometry, Nature, 1995, 375, 567-570,
119． Massonnet, D., T. Holzer, and H. Vadon, Land subsidence caused by the East Mesa geometrical field, California, observed using radar interferometry, Geophys. Res. Lett., 1997, 24, 901-904
120． Mattar K. E., P. W. Vachon, D. Geudtner, A. L. Gray, I. G Gumming, and M. Brugman, Validation of Alpine Glacier Velocity Measurements Using ERS Tandem-Mission SAR Data, IEEE Transactions on Geosciences and Remote Sensing, 1998, Vol. 36, No. 3, pp974-984
121． Moghaddam M., Effects of Medium Symmetries in Limiting the Number of Parameters Estimated with Polarimetry Interferometry, IGARSS1999, 1999
122． Moghaddam M., Effects of Medium Symmetries on Parameter Estimation With Polarimetric Interferometry, Jounal of Electromagnetic and Applciations, 2000, Vol. 14, pp173-184
123． Moghaddam M., S. Saatchi, Analysis of Scattering Mechanisms in SAR Imagery over Boreal Forest:ResuIts from BOREAS'93, IEEE Transactions on Geosciences and Remote Sensing, 1995, Vol. 33, No. 5, pp1290-1296
124． Mooney, H. A., and R. J. Hobbs, Remote Sensing of Biosphere Function, In Ecological Studies, 1990, vol. 79, edited by R. J. Hobbs and H. A. Mooney, pp. 1-4, Springer-Verlag, New York
125． Moran M. S., D. C. Hymer, J. G Qi, Y. Kerr, Comparison of ERS-2 SAR and Landsat TM Imagery for Monitoring Agricultural Crop and Soil Conditions, Remote Sensing of Environment, 2002, Vol. 79, pp243-252
126． Mrstik V, G V. Jr., G Cardillo, and M. Fennell, Terrain Height Measurement Accuracy of Interferometric Synthetic Aperture Radars, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 1, pp219-228
127． Neilson, R. P., A model for predicting continental-scale vegetation distribution and water balance, Ecol. Appl., 5, 362-385, 1995
128． Nghiem S. V, S. H. Yueh, R. Kwok, and F. K. Li, Symmetry Properties in Polarimetric Remote Sensing, Radio Science, 1992, Vol. 27, No.5, pp693-711
129． Nico G, J. F. Guasch, J. M. Lopez-Sanchez, L. Sagues, A. J. Sieber, Coherence Optimization by Polarimetric Interferometry for Phase Unwrapping, 1GARSS2000, 2000
130． Papathanassiou K. P. and J. R. Moreira, Interferometric Analysis of Multifrequency and Multipolarization SAR Data, Proc. of Geos. Remote Sensing, IEEE, 1996, Vol 4:1227-1229
131． Papathanassiou K. P. and S. R. Cloude, Single-Baseline Polarimetric SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 11, pp2352-2363, November
132． Papathanassiou K. P., Polarimetric SAR Interferometry, Ph. D. thesis, 1999
133． Papathanassiou K. P., S. R. Cloude, Phase Decomposition in Polarimetry SAR Interferometry, IGARSS1998, 1998
134． Papathanassiou K. P., S. R. Cloude, Polarimetric Effects in Repeat-Pass SAR Interferometry, IGARSS1997, 1997, pp1926-1928
135． Papathanassiou K. P., S. R. Cloude, Reigber A. and W. M. Boerner, Multi-baseline Polarimetric SAR Interferometry for Vegetation Parameters Estimation, Proc. of Geos. Remote Sensing, IEEE, 2000, Vol 6: 2762-2764
136． Peltzer G K. W. Hudnut and K. L. Feigl, Analysis of coseismic surface displacement gradients using radar interferometry: New insights into the Landers earthquake. Journal of Geophysical Research, 1994, 99(B11) : 21971-21981
137． Peltzer G, Frederic Crampe and Geoffrey King, Evidence of Nonlinear Elasticity of the Crust from the Mw7． 6 Manyi(Tibet) Earthquake, Science, Vol. 286, October 1999, pp272-276
138． Peltzer G, P. Rosen, Surface Displacement of the 17 May 1993 Eureka Valley, California, Earthquake Observed by SAR Interferometry, Science, 1993, 268:1333-1336
139． Poitter E., S. R. Cloude, Application of the
140． Prati C., F. Rocca, A. M. Guarnieri, E. Damonti, Seismic Migration For SAR Focusing: Interfeometrical Applications, IEEE Transactions on Geosciences and Remote Sensing, 1990, Vol. 28, No. 4, pp627-640
141． Press W. H., B. P. Flannery, S. A. Teukolsky, W. T. Vetterling, Numerical Recipes: The Art of Scientific Computing, London, Cambridge University Press, 1986, 326-334
142． Price E. J., D. T. Sandwell, Small-scale Deformations Associated with the 1992 Landers, California, Earthquake Mapped by Synthetic Aperture Radar Interferometric Phase Gradients, Jounal of Geophysical Research, 1998, Vol. 103, No. B11, pp27001-27016
143． Pritt M. D., J. S. Shipman, Least-Squares Two-Dimensional Phase Unwrapping Using FFT's, IEEE Trans. Geosci. Remote Sensing, 1994, Vol. 32, No. 3, pp706-708
144． Pritt M. D., Phase Unwrapping by Means of Multigrid Techniques for Interferometric SAR, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 3, pp728-738
145． Quegan S., A Unified Algorithm for Phase and Cross-Talk Calibration of Polarimetnc Data-Theory and Observations, IEEE Trans. Geosci. Remote Sensing, 1994, Vol. 32, No. 1, pp89-99
146． Reigber A., A. Moreira, First Demostration of Airborne SAR Tomography Using Multibaseline L-band Data, IEEE Transactions on Geosciences and Remote Sensing, 2000, Vol. 38, No. 5, pp2142-2152
147． Reigber C., Y. Xia, H. Kaufrnann, L. Timmen, J. Bodechtel, Impact of Precise Orbits on SAR Interferometry, Fringe'96, 1996
148． Riccardo Lanari, G Fornaro, D. Riccio, M. Migliaccio, K. P. Papathanassiou, R. Moreira, M. Schwabisch, L. Durta, Puglisi Giuseppe, G Franceschetti and M. Coltelli, Generation of Digital Elevation Models by Using SIR-C/X-SAR Multifrequency Two-Pass Interferometry: The Etna Case Study, IEEE Trans. Geosci. Remote
Sensing, 1996, Vol. 34, No. 5, pp1097-1114
149． Rignot E. J., S. P. Gogineni, W. B. Krabill, S. Ekholm, North and Northeast Greenland Ice Discharge from Satellite Radar Interferometry, Science, 1997, Vol. 276, pp934-937
150． Rodriguez E., J. M. Martin, Theory and Design of Interferometric Systhetic Aperture Radars, IEE Proceedings-F, 1992, Vol.139, No.2, pp!47-159
151． Rogers A. E. and R. P. Ingalls, Mapping the Surface Reflectivity by Radar Interferometry, Science, 1969, Vol. 165, pp797-799
152． Rosen P. A., S.Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez, R. M. Goldstein, Synthetic Aperture Radar Interferometry, Proceedings of the IEEE, 2000, Vol. 88, No. 3, pp333-381
153． Rufino G, A. Moccia, S. Esposito, DEM Generation by Means of ERS Tandem Data, IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, No. 6, pp1905-1912
154． Sagues L., J. M. Lopez-Sanchez et al., Indoor Experiments on Polarimetric SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, pp671-684, March.
155． Sagues L., J. M. Lopez-Sanchez, J. Fortuny, X. Fabregas, A. Broquetas, A. J. Sieber, Polarimetric Radar Interferometry for Improved Mine Detection and Surface Clutter Rejection, IEEE Trans. Geosci. Remote Sensing, 2001, Vol. 39, No. 6, pp1271-1278
156． Sarabandi K., Calibration of Polarimtric Synthetic Aperture Radar Using a Known Distributed Target, IEEE Trans. Geosci. Remote Sensing, 1994, Vol. 32, No. 3, pp575-582
157． Sarabandi K., Y. C. Li, Simulation of Interferometric SAR Response for Characterizing the Scattering Phase Center Statistics of Forest Canopies, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 1, pp115-125
158． Scharroo, R. and P. N. A. M. Visser, and G J. Mets, Precise orbit determination and gravity field improvement for the ERS satellites, 1998, J. Geophys. Res., 103, C4, pp8113-8127
159． Schou J., H. Skriver, Restoration of Polarimetric SAR Images Using Simulated Annealing, IEEE Transactions on Geoscience and Remote Sensing, 2001, Vol. 39, No.9, pp2005-2016
160． Schuler D. L., J. S. Lee, G D. Grandi, Measurement of Topography Using Polarimetric SAR Images, IEEE Trans. Geosci. Remote Sensing, 1996, Vol. 34, No. 5, pp1266-1277
161． Schulz-Stellenfleth J., J. Horstmann, S. Lehner, W. Rosenthal, Sea Surface Imaging With an Across-Track Interferometric Synthetic Aperture Radar: The SINEWAVE Experiment, IEEE Transactions on Geoscience and Remote Sensing, 2001, Vol. 39, No.9, pp2017-2028
162． Schulz-Stellenfleth J., S. Lehner, Ocean Wave Imaging Using an Airborne Single Pass Across-Track Interferometric SAR, IEEE Transactions on Geoscience and Remote Sensing, 2001, Vol. 39, No.1, pp38-45
163． Seymour M. S., I. G Cumming, Maximum Likelihood Estimation For SAR Interferometry, IGARSS'94, 1994, pp2272-2275
164． Shimama M., H. Wakabayashi, T. Tadono, Q. Muthar, T. Kobayashi, Possibility Study on Estimating Tree Height Distribution Using a L-Band Polarimetric-Interferometric Airborne SAR, SPIE, 2000, Vol. 4152． pp347-354
165． Singh K., N. Stussi, K. L. Keong, L. Hock, Baseline Estimation In Interferometric SAR. IGARSS.97, 1997
166． Small D., Charles Werner and Daniel Nuesch, Baseline Modelling for ERS-1 SAR Interferometry, 1996a, Proceedings IGARSS'1996, pp1204-1206
167． Small D., Paolo Pasquali, and Stefan Fuglistaler, A Comparision of Phase to Height Conversion Methods for SAR Interferometry, 1996b, Proceedings, IGARSS'1996, pp342-344
168． Spagnolini U., 2-D Phase Unwrapping and Instantaneous Frequency Estimation, IEEE Transactions on Geosciences and Remote Sensing, 1995, Vol. 33, No. 3, pp579-589
169． Stebler O., R. Brodbeck, P. Pasquali, D. Nilesch, Mutibaseline POL-InSAR Experiment for the scattering
Processing and Their Spatial Distribution Within Vegetation Layers, IGARSS2000, 2000
170． Strozzi T., P. B. G Dammert, U. Wegmuller, J. M. Martinez, J. I. H. Askne, A. Beaudoin, M. T. Hallikainen, Landuse Mapping with ERS SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, pp766-775
171． Treuhaft R. N. and S. R. Cloude, The Struture of Oriented Vegetation from Polarimetric Interferometry, IEEE Trans,. Geosci. Remote Sensing, 1999, Vol. 37, No. 5, pp2620-2624
172． Treuhaft R. N., and P. R. Siqueira, The Vertical Strtiture of Vegetated Land Surfaces from Interferometric and Polarimetric Radar, Radio Sci., 2000, vol. 35, no. 1, pp. 141-177
173 Treuhaft R. N., M. Moghaddam, B. J. Yoder, Forest Vertical Struture From Multibaseline Interferornetric Radar For Studying Growth and Productivity, IGARSS1997, 1997, pp 1884-1886
174 Treuhaft R. N., S. N. Madsen, M. Moghaddam, and J. J. Van Zyl, Vegetation Characteristics and Underlying Topography from Interferometric data, Radio Sci., 1996, vol. 31, pp. 1449-1495
175． Treuhaft R., M. Moghaddam, J. J. VanZyl, K. Sarabandi, Estimating Vegetation and Surface Topographic Parameters From Multbaseline Radar Interferometry, IGARSS1996, 1996, pp978-980
176． Trouve E., Nicolas J. M., Maitre H., Improving Phase Unwrapping Techniques by the Use of Local Frequency Estimates, IEEE Trans. Geosci. Remote Sensing, 1998, Vol. 36, No. 6,pp1963-1972
177． Tsang L., J. A. Kong, R. T. Shin, Theory of Microwave Remote Sensing, John Wileys & Sons, 1985
178． Ulaby F. T., C. Elachi, Radar Polarimetry for Geoscience Applications, Artech House, 1990
179． Ulaby F. T., D. Held, M. C. Dobson, K. C. Mcdonald, Thomas B. A., Relating Polarization Phase Difference of SAR Signals to Scene Properties, IEEE Trans. Geosci. Remote Sensing, 1987, Vol. GE-25, No. 1, pp83-92
180． Ulaby F. T., R. K. Moore, A. K. Fung, Microwave Remote Sensing-active and passive(VolumeⅢ) From Theory to Applications, Artech House, 1986
181． Ulander L. M. H., Accuracy of Using Point Targets for SAR Calibration, IEEE Transactions on Aerospace and Electronic Systems, 1991, Vol. 27, No. 1, pp 139-148
182． Van Laarhoven P. J. M., E. H. L. Aarts, Simulated Annealing: Theory and Application, Dordrecht, Reidel, 1987, 59-60
183 Van Zyl J. J., Application of Cloude's Target Decomposition Theorem to Polarimetric Imaging Radar Data, SPIE, 1992, Vol. 1748, pp184-191
184． Van Zyl J. J., Calibration of Polarimetric Radar Images Using Only Image Parameters and Trihedral Corner Reflector Respones, IEEE Trans. Geosci. Remote Sensing, 1990, Vol. 28, No. 3, pp337-348
185． Van Zyl J. J., H. A. Zebker and C. Elachi, Imaging Radar Polarization Signitures:Theory and Observation, Radio Science, 1987, Vol. 22, No. 4, pp529-543
186． Vishvjit S. N., T. O. Binford, On Detecting Edge, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, Vol. PAMI-8, No. 6, pp699-714
187． Waring, R. H., J. Way, R. Hunt Jr., L. Morrissey, K. J. Rason, J. F. Weishampel, R. Oren, and S. E. Franklin, Imaging Radar for Ecosystem Studies, Bioscience, 1995, 45, 715-723
188． Wegmuller U., C. L. Werner, and P. A. Rosen, Derivation of terrain slope from SAR interferometric phase gradient, 1993, in 2nd ERS-1 User Symp., Hamberg, Germany, pp711-716
189． Wegmuller U., C. L. Werner, Retrieval of vegetation parameters with SAR inteiferometry, IEEE Trans. Geosci. Remote Sensing., 1997, Vol.35, pp18-24
190． Wegmuller U., C. L. Werner, SAR Interferometric Signitures of Forest, IEEE Trans. Geosci. Remote Sensing, 1995, Vol. 33, No. 5, pp1153-1161
191． Wegmuller U., T. Strozzi, T. Farr, C. L. Werner, Arid Land Surface Characterization with Repeat-Pass SAR Interferometry, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 2, pp776-781
192． Weydahl D. J., Analysis of ERS SAR Coherence Images Acquired over Vegetated Areas and Urban Features,
International Journal of Remote Sensing, 2001, Vol. 22, No. 14, pp2811-2830
193． Weydahl D. J., Analysis of ERS Tandem SAR Coherence From Glaciers, Valleys, and Fjord Ice on Svalband, IEEE Transactions on Geosciences and Remote Sensing, 2001, Vol. 39, No. 9, pp2029-2039
194． William M. B., Synthetic Aperture Radar, IEEE Transactions on Aerospace and Electronic Systems, 1967, Vol. AES-3, No. 2, PP217-229
195 Williams S., Y Bock, P. Fang, Integrated Satellite Interferometry: Tropospheric Nois, GPS Estimates and Implications for Inteiferometric Synthetic Aperture Radar Products, Jounal of Geophysical Research, 1998, pp27051-27067
196． Wimmer C., R. Siegmund, M. Schwabisch, I. Moreira, Generation of High Precision DEMs of the Wadden Sea with Airborne Interferometric SAR, IEEE Trans. Geosci. Remote Sensing, 2000, Vol. 38, No. 5, pp2234-2245
197． Xu C. Y, J. L. Prince, Gradient Vector Flow: A New External Force for Snakes, IEEE Proc. Conf. on Comp. Vis. Patt. Recog(CVPR'97) , 1997, pp66-71
198． Xu C., Prince J. L., IEEE Trans. Image Processing, 1998, Vol. 7, No. 3, pp359-369
199． Yamada H., Y. Yamaguchi, E. Rodriguez, Y. Kim, W. M. Boemer, Polarimetric SAR Interferometry for Forest Canopy Analysis by Using the Super-Resolution Method, IGARSS2001, 2001
200． Yoshimitsu Okada, Surface Deformation duo to Shear and Tesile Faults in a Half-Space, Bulletin the Seismological Society of America, 1985, Vol. 75, No. 4, pp1135-1154
201． Yue Z., D. Li, and J. L. van Gendern, Wavelet transform for noise reduction of SAR interferogram, in Wavelet Applications V1, H. H. Szu, Ed., Orlando, Apr.6-8, 1999, vol. 3723 of proc. SPIE, PP.208-213
202． Zebker H. A. and J. Villasenor, Decorrelation in interferometric radar echoes. IEEE Trans. Geosci. Remote Sensing, 1992, 30(5) :950-959
203． Zebker H. A.. C. L. Werner et al., Accuracy of Topographic Maps Derived from ERS-1 Interferometric Radar, IEEE Trans. Geosci. Remote Sensing, 1994a, Vol. 32, No. 4, pp823-836．
204． Zebker H. A., Interferometric SAR processing tutorial, http://EE.STANFORD.EDU/-ZEBKER. 1994
205． Zebker H. A., J. J. Van Zyl, D. N. Held, Imaging Radar Polarimetry From Wave Synthesis, Journal of Geophysical Research, 1987, Vol. 92, No. B1, pp683-701
206． Zebker H. A., J. J. VanZyl, S. L. Durden, L. Norikane, Calibrated Imaging Radar Polarimetry: Technique, Example, and Applications, IEEE Trans. Geosci. Remote Sensing, 1991, Vol. 29, No. 6, pp942-961
207． Zebker H. A., P. A. Rosen and Scott Hensley, Atmospheric effects in interferomeric systhetic aperture radar surface deformation and topographic maps, J. Geophys. Res., 1997, 102(B4) :7547-7563
208． Zebker H. A., P. Rosen, R. M. Goldstein, A. Gabriel and C. L. Werner, On the derivation of coseismic displacement fields using differential radar interferometry: The Landers earthquake. J. Geophys. Res., 1994b, 99:19617-19634
209． Zebker H. A., R M Goldstein, Topographic mapping from interferometry synthetic aperture radar observations. Journal of Geophysical Research, 1986, Vol. 91, pp.4993-4999
210． Zebker H. A., Y. L. Lou, Phase Calibration of Imaging Radar Polarimeter Stokes Matrices, IEEE Trans. Geosci. Remote Sensing, 1990, Vol. 28, No. 2, pp246-252
211． Zebker H. A., Y. P. Lu, Phase Unwrapping Algorithms for Radar Interferometry:Residue-Cut, Least-Squares, and Synthesis Algorithms, J. Opt. Soc. Am., 1998, Vol. 15, No. 3, pp586-598
212． Elachi C．著，王松皋，胡筱欣，王维和，刘虹译，遥感的物理学和技术概论，气象出版社．北京．1995
213． Press W.H．，S．A．Teukolsky,W.T.VetteRLing，B．P．Flannery,著，傅祖芸，赵梅娜，丁岩等译，C语言数 值算法程序大全(第二版)，电子工业出版社，北京，1995
214． 陈宝林，最优化理论与算法，清华大学出版社，北京，1989
215．陈逢时，编著，子波变换理论及其在信号处理中的应用，国防工业出版社，北京，1998
216．陈述彭，童庆禧，郭华东，主编，遥感信息机理研究，科学出版社，北京1998
217．崔锦泰，著，程正兴译，小波分析导论，西安交通大学出版社，西安，1995
218．董庆，粗糙海面电磁散射的极化特征分析与应用研究，中科院遥感应用研究所博士论文，北京，2000
219．郭华东等著，雷达对地观测理论与应用，科学出版社，北京2000
220．合恩R．A．，C．R．约翰逊，著，杨奇译，矩阵分析，天津大学出版社，天津，1989
221．解可新，韩立兴，林友联，最优化方法，天津大学出版社，天津，2001
222．金亚秋，著，电磁散射和热辐射的遥感理论，科学出版社，北京，1998
223．康立山，谢云，尤矢勇，罗祖华，著，非数值并行算法—模拟退火算法(第一册)，科学出版社，北京，2000
224．孔J．A．著，霍美瑜译，电磁波理论，人民教育出版社，北京，1980
225．李建华．利用卫星图像研究西藏羌塘及邻区的断裂活动性．地震地质，1998，20(3)：201-207．
226．刘勇，康立山，陈毓屏，著，非数值并行算法—遗传算法(第二册)，科学出版社，北京，2000
227．彭玉华，著，小波变换与工程应用，科学出版社，北京，1999
228．齐震，水稻的微波散射模型，中科院遥感应用研究所硕士论文，北京，1999
229．秦前清，杨宗凯，编著，实用小波分析，西安电子科技大学出版社，西安，1998
230．邵芸，水稻时域散射特征分析及其应用研究，中科院遥感应用研究所博士论文，北京，2000
231．王超，刘智，张红，单新建，张北—尚义地震同震形变场雷达差分干涉测量，科学通报，Vol．45，No．23，2000,pp2550-2554
232．王翠珍，极化SAR数据分析与目标信息提取，中科院遥感应用研究所博士论文，北京，1999
233．王世一，编著，数字信号处理，北京理工大学出版社，2000
234．乌拉比F T，R．K．穆尔，冯健超著，微波遥感(第二卷)雷达遥感和面目标的散射、辐射理论，科学出版社，北京，1987
235．乌拉比F．T．，R．K．穆尔，冯健超著，微波遥感(第一卷)微波遥感基础和辐射测量学，科学出版社，北京，1987
236．吴祁耀，随机过程，国防工业出版社，北京，1987
237．谢处方，饶克谨，电磁场与电磁波，高等教育出版社，北京，1979
238．谢云，尤矢勇，模拟退火算法冷却进度表的参数选取，武汉大学学报-并行计算专刊，1991a，pp71-82
239．谢云，尤矢勇，一种并行的模拟退火算法—加温退火法，武汉大学学报-并行计算专刊，1991b，pp49-58．
240．杨文采，著，地球物理反演的理论与方法，地质出版社，北京，1997
241．俞卞章，李志钧，金明录，编著，数字信号处理，西北工业出版社，西安，1995
242．袁亚湘，孙文瑜，著，最优化理论与方法，科学出版社，北京，2001
243．赵家升，杨显清，王园，胡皓全，电磁场与波，电子科技大学出版社，成都，1997
244．中国科学院青藏高原综合科学考察队．青藏高原地质构造．北京：科学出版社，1982．
245．庄钊文，肖顺平，王雪松，著，雷达极化信息处理及其应用，国防工业出版社，北京，1999