用户名: 密码: 验证码:
合成孔径雷达干涉与极化干涉技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
极化合成孔径雷达(PolSAR)研究电磁波的矢量特征,通过测量和分析目标的极化散射特性,获取目标的介电常数、物理特性、几何形状和取向等方面的大量信息。干涉合成孔径雷达(InSAR)利用合成孔径雷达(SAR)系统从空间分离的两个位置对同一区域成像,由相位差与路径差的关系来提取目标的高程信息,能够全天时、全天候的获取大面积、高精度三维地形数据。PolSAR和InSAR系统各有特点,是近些年SAR遥感领域内的研究热点。
     极化合成孔径雷达干涉(Pol—InSAR)技术将SAR极化测量引入干涉应用,利用全极化SAR系统进行干涉测量,对极化散射矩阵进行干涉分析。Pol-InSAR结合了极化测量和干涉测量的特点,可以同时把目标的精细物理特征与空间分布特性结合起来,并提取它们之间的相互关系。极化干涉测量不仅能够提高常规SAR干涉测量的精度,而且有助于更好的理解目标的散射机理和所发生的散射过程。1997年S.R.Cloude和K.P.Papathanassiou首次提出极化干涉的概念,引发了世界各国SAR遥感领域中大批学者的广泛研究。目前极化干涉技术已经发展成为SAR研究中的又一热点。Pol-InSAR技术具有常规SAR极化和SAR干涉都无法比拟的特点,有着广阔的应用前景和研究价值。
     本论文主要对SAR干涉和极化干涉技术进行研究。在介绍SAR极化和SAR干涉的基本理论之后,对InSAR的系统特性进行深入全面的分析和讨论。在对干涉相位的研究中,详细推导了条纹波数、临界基线、模糊高度、距离向最大可测坡度、频移、平地相位等参数,并分析了这些参数的物理意义。论文还深入研究影响InSAR系统相关性的因素,分析了噪声、体散射、基线(几何)、象素失配、时间、轨道不平行等去相关源对相关性的影响。在对影响InSAR系统高程测量误差的主要因素进行分析的基础上,论文给出对视角、基线倾角、系统带宽、基线长度等干涉系统参数进行优选的简单有效方法,并用ERS-1的参数进行分析。对干涉SAR系统特性进行深入的研究,力图全面了解和掌握影响InSAR系统性能的主要因素,以期对我国InSAR系统的设计、实现有所帮助。论文提出用小卫星编队飞行实现全球三维成像的几种方案,并对一种三星方案的系统参数进行了详细的分析和选择。对用小卫星编队飞行进行全球地形三维测量方法进行初步研究,希望能对我国天基综合信息网方面的研究有一定的参考价值。论文还简单介绍了SAR干涉数据的处理流程和方法,并给出Etna火山口处数据处理的结果。
     在深入研究干涉技术的基础上,论文介绍了Pol-InSAR测量的基本原理,用SIR-C的实测数据进行了实验研究,并对实验结果给出详细的分析和讨论。最后,论文研究极化干涉在SAR图象地物分类中的应用,给出极化干涉非监督Wishart
    
    分类算法及其处理步骤,并对实验结果进行分析。提出多波段数据的极化干涉非
    监督们 shart分类算法,并对实验数据进行处理。发现在用极化干涉非监督
    Wishart方法进行分类时,由于干涉条纹的存在而影响分类结果,分析这一问题
    出现的原因,并提出了几种可行的处理方法。极化干涉技术是近几年发展起来的
    新兴技术,开展这方面的研究有一定前瞻性,对及时深入跟踪国际先进技术具有
    积极意义。
     论文的创新工作主要表现在以下几个方面:
     门)在对影响InSAR系统相关性因素的分析中,首次推导了轨道间有夹角时相
     关系数的表达式,并分析和讨论轨道不平行对InSAR系统相关性的影响;
     在 InSAR系统设计方面,提出优化选择视角、基线倾角、系统带宽和基线
     长度等参数的一种简单有效方法,并用ERSl参数进行分析;
     (2)提出用小卫星编队飞行实现全球三维成像干涉测量的几种方案,并对一种
     三星方案进行设计,对几个系统参数进行详细分析和选取;
     (3)对SAR数据极化干涉处理的理论和方法进行全面深入的总结和实验研究,
     给出极化干涉方法处理实验数据的具体步骤,对实验结果进行详细分析、
     讨论,并给出本人对该方法实际物理意义的理解;分析和讨论了基线对极
     化干涉处理结果的影响;
     (4)对极化干涉非监督 Wi shart ML分类算法进行实验研究,给出该算法的数
     据处理方法,并对实验结果进行详细分析讨论;发现由于干涉条纹的存在,
     在用极化干涉非监督Wishart ML方法处理数据时,有些情况下不能得到
     正确的分类结果。分析何种情况下会出现这一问题,以及该问题出现的原
     因,并提出了几种可行的处理方法;提出多波段SAR数据的极化干涉非监
     督Wishart ML分类算法,给出该算法的具体实现方法,并对实验数据进
     行处理。
Polarimetric Synthetic Aperture Radar (PolSAR) investigates the transverse vectorial nature of plane EM waves and provides the complex scattering matrix of a scatterer. Scattering polarimetry is sensitive to the shape, orientation, and dielectric properties of scatters. SAR interferometry is an established technique for the estimation of the height location of scatterers, through the phase difference in images acquired from spatially separated locations at either end of a baseline. Interferometric Synthetic Aperture Radar (InSAR) can provide accurate digital three-dimensional topographic measurement with all weather conditions day and night. PolSAR and InSAR techniques have been hot researching topics in the area of Synthetic Aperture Radar (SAR) remote sensing in recent years.
    Polarimetric techniques are introduced into interferometric applications in Polarimetric SAR Interferometry (Pol-InSAR). Pol-InSAR techniques make the interferometric analysis of each pixel for various polarization combinations. Since the polarimetric response is sensitive to the scattering mechanism, detailed scattering characteristics can be estimated by using polarimetric interferometry. The interferometric analysis of a full coherent polarimetric data set enables the combination of the final structure properties and the spatial information of the targets. Polarimetric Synthetic Aperture Radar Interferometry is a potential technique, which not only improves the accuracy of the interferometric measurements but also allows a more sophisticated physical interpretation of scattering mechanism. Pol-InSAR has gained more and more a wider recognition since S.R.Cloude and K.P.Papathanassiou first introduced polarimetric interferometry in 1997. The development of polariemtric SAR interferometry is progressing rapi
    dly and now Pol-InSAR technique has become another hot topic in SAR researching area. Pol-InSAR has much wide prospective applications and valuable researching aspects, with lots of incomparable advantages that neither polarimetry nor interferometry alone can provide.
    
    
    SAR interferometric and polarimetric interferometric techniques are detailed discussed in this dissertation. Following the introduction of the basic principles of SAR polarimetry and SAR interferometry, the characteristics of InSAR system is comprehensively researched. A lot of parameters related to the research of the interferometric phase difference are formulated and analyzed in detail. The factors that affect the correlation of InSAR system are discussed comprehensively. The effects caused by all kinds of decorrelation factors are analyzed. A simple and effective method to optimize the parameters of InSAR system is proposed in this dissertaion, based on the analysis of the sensitivity of the estimated height to errors in the knowledge of the various interferometer parameters. This method is validated by the parameters of ERS-1. The main purpose of this thoroughly studies of InSAR system's properties is to comprehensively consider the main factors that affect the performance of InSAR system, which will be helpful to the design of InSAR systems. Several schemes, which use small satellites flying in formation to acquire global three-dimensional imaging, are also proposed in this dissertation, followed by the analysis and selection of the system parameters of one of the three small satellites. The primary studies on the methods that use small satellites flying in formation to implement global 3D measurements are developed in order to provide some valuable reference for the researches of the space-based integrated information network. The flows of processing InSAR data are also briefly introduced.
    The principles of the Pol-InSAR techniques are provided and the experimental researches are made based on the full polarimetric interferometric data acquired by SIR-C/X-SAR system. The results of the experiments are then discussed in detail. The applications of polarimetrtic interferometry in the classification of the land cover of SAR images are studies in the end of th
引文
1.张澄波,“综合孔径雷达原理、系统分析与应用”,科学出版社,北京,1989
    2. John J. Kovaly. "Synthetic Aperture Radar". Artech House Inc., 1978
    3. Merrill I. Skolnik, "Radar Handbook 2~(nd) edition". Chapter 21-22, McGraw-Hill Inc. 1990
    4.H.莫特(美)著,林昌禄等译,向敬成等校,“天线和雷达中的极化”,电子科技大学出版社,成都,1989
    5.庄钊文,肖顺平,王雪松,“雷达极化信息处理及其应用”,国防工业出版社,北京,1999
    6. Fawwaz T. Ulaby, Charles Elachi. "Radar Polarimetry for Geoscience Applications". Artech House Inc., Boston, London, 1990:281-295
    7. Howard A. Zebker, Jakob J. van Zyl. "Imaging Radar Polarimetry: A Review". Proc. IEEE,Vol. 79, No. 11, 1991:1583-1606
    8. G. Sinclair. "The Transmission and Reception of Elliptically Polarized Waves". Proc. IRE, Vol. 38, Feb. 1950:148-151
    9. J.R.Huynen. "Phenomenologieal theory of radar target" in Electromagnetic Scattering. P.L.E.Uslenghi, Ed. Academic Press, New York, 1978, chapter 11.
    10. W.M.Boemer, M.B.El-Arini. "Polarisation Dependence in Electromagnetric Inverse Problem". IEEE Trans. On Antennas and Propagation, Vol. 29, No.2, 1981:262-271
    11. [62]H.Zebker, J.J.van Zyl, D.N.Held. "Imaging Radar Polarimetry from Wave Synthesis". Journal of Geophysical Research, Vol. 92, 1987:683-701
    12. H.Zebker, J.J.van Zyl, et al. "Calibrated Imaging Radar Polarimetry: Technique, Examples and Applications". IEEE Trans. On GRS., Vol. 29, No. 5, 1991:942-961
    13. S.N.Madsen, E.L.Christensen, et al. "The Danish SAR System: Design and Initial Tests". IEEE Trans. On GRS., Vol. 29, No. 5, 1991: 417-426
    14. R.Hom. "DLR Airborne SAR Project, Objectives and Status". Proceedings of the First International Airborne Remote Sensing Conference, Strasbourg, France, 11-15 September, 1994
    15. F. Stuhr, R.Jordan, M.Wemer. "SIR-C/X-SAR: A Multifaceted Radar". IEEE International Radar Conference, 1995: 53-61
    16. R.L.Jordan, E.R. Caro, et al. "Design of Shuttle Radar Topography Mapper (SRTM)". Proceedings of SPIE, Vol. 2747, 1996:108-117
    17. P. Pasquali, et al. "Study of the ENVISAT ASAR alternate polarization mode: preliminary results", Proceedings of EUSAR Symposium, 1998: 335-338
    18. L.Brule, H.Baeggli. "RADARSAT-2 Program Update". Proceedings of EUSAR Symposium, 2002
    19. S.R.Cloude, E.Pottier. "A Review of Target Decomposition Theorems in Radar Polarimetry". IEEE Trans. On GRS., Vol. 34, No. 2, 1996:498-518
    20. E.Krogager. "A New Decomposition of the Radar Target Scattering Matrix". Electron. Lett., Vol. 26, No. 18, 1990:1525-1526
    21. F.T.Ulaby, K.Sarabandi, et al. "Statistical Properties of the Mulller Matrix of Distributed Targets". IEE Proc., Vol. 139, No. 2, 1992:136-146
    22. I.R.Joughin, D.P. Winebrenner, D.B.Percival. "Probability Density Functions for Multilook Polarimetric Signatures". IEEE Trans. On GRS., Vol. 32, No. 3, 1994:562-574
    
    
    23. J.S.Lee, et al. "Intensity and Phase Statistics of Multilook Polarimetric and Interferometric SAR Imagery". IEEE Trans. On GRS., Vol. 32, No. 5, 1994:1017-1027
    24. J.S.Lee, D.L.Schuler, et al. "K-distribution for Multi-look Processed Polarimetric SAR Imagery". Proceedings of IGARSS'94, 1994:2179-2181
    25. J.J.van Zyl, et al. "Unsupervised Classification of Scattering Behavior Using Radar Polarimetry Data". IEEE Trans. On GRS., Vol. 27, No. 1, 1989:36-45
    26. J.A.Kong, A.A.Swartz, et al. "Identification of Terrain Cover Using the Optimal Terrain Classifier". Journal of Electromagnetic Waves Application, 1988, 2:171-194
    27. J.S.Lee, M.R.Grunes. "Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution". Int. J. Remote Senseing, Vol. 15, No. 11, 1994:2299-2311
    28. L.Du, J.S.Lee. "Fuzzy Classification of Earth Terrain Covers Using Complex Polarimetric SAR Data". Int. J. Remote Sensing, Vol. 17, No. 4, 1996:809-826
    29. J.J.van Zyl, et al. "Bayesian Classification of Polarimetric SAR Images Using Adaptive a Priori Probabilities". Int. J. Remote Sensing, Vol. 13, No. 5, 1992:835-840
    30. S.R.Cloude, E.Pottier. "An Entropy Based Classification Scheme for Land Applications of Polarimetric SAR". IEEE Trans. On GRS., Vol. 35, No. 1, 1997:68-78
    31. J.S.Lee, M.R.Grunes, et al. "Unsupervised Classification Using Polarimetric Decomposition and the Complex Wishart Classifier". IEEE Trans. On GRS., Vol. 37, No. 5, 1999:2249-2257
    32. D.L.Schuler, J.S.Lee, G. De Grandi. "The Remote Sensing of Topography Using Polarimetric SAR". Proceedings of IGARSS'95, 1995:1789-1791
    33. I.Hajnsek, S.R.Cloude, et al. "Inversion of Surface Parameters from Polarimetric SAR Data". Proceedings of IGARSS'2000, 2000:1095-1097
    34. L.M.Novak, M.C.Burl. "Optimal Speckle Reduction in Polarimetric SAR Imagery". IEEE Trans. On AES, Vol. 26, No.2, 1990:293-305
    35. J.S.Lee, M.R.Grunes, S.A.Mango. "Speckle Reduction in Multipolarization Multifrequency SAR Imagery". IEEE Trans. On GRS, Vol. 29, No. 4, 1991:535-544
    36. J.S.Lee, M.R.Grunes, et al. "Polarimetric SAR Speckle Filtering and Its Implication for Classification". IEEE Trans. On GRS, Vol. 37, No. 5, 1999:2363-2373
    37. G.F. Lemoine, D.H.Hoekman, A.J.Sieber. "Polarimetric Reatures of Agricultural Fields Using MAESTRO-1 AIRSAR Data". Int. J. Remote Sensing, Vol. 15, No. 14, 1994:2851-2869
    38. E.Rignot, R.Zimmerman, J.J.van Zyl. "Spaceborne Applications of P-Band Imaging Radars for Measuring Forest Biomass". IEEE Trans. On GRS, Vol. 33, 1995:1162-1169
    39. S.R.Cloude, J.Fortuny, et al. "Wide-Band Polarimetric Radar Inversion Studies for Vegetation Layers". IEEE Trans. On GRS, 1998
    40. J.J.van Zyl, H.Zebker, C.Elachi. "Imaging Radar Polarisation Signature: Theory and Applications". Radio Science, Vol. 22, No. 4, 1987:529-543
    41. D.S.Lin, E.F. Wood, et al. "Soil Moisture Estimation over Grass-covered Areas Using AIRSAR". Int. J. Remote Sensing, Vol. 15, No. 11, 1994:2323-2343
    42. J.Shi, H.Rott, J.Dozier. "Deriving Snow Liquid Water Content Using C-Band Polarimetric SAR". Proceedings of IGARSS'93, 1993:1038-1041
    43. D.L.Schuler, J.S.Lee, et al. "Polarimetric SAR Image Signatures of the Ocean and Gulf Stream Features". IEEE Trans. On GRS., Vol. 31, No. 6, 1993:1210-1221
    44. A.E.E.Rogers, R.P. Ingalls. "Venus: Mapping the surface reflectivity by radar interferometry". Science, Vol. 165, 1969:797-799
    
    
    45. L.C.Graham. "Synthetic Interferometrer Radar for Topographic Mapping". Proceedings of IEEE, Vol. 62, 1974:763-768
    46. H.A.Zebker, R.M.Goldstein. "Topographic mapping from interferometric SAR observations". J. Geophys. Res., Vol. 91, 1986:4993-4999
    47. A.K.Gabriel, R.M.Goldstein. "Crossed orbit interferometry.: theory and experimental results from SIR-B". Int. J. Remote Sensing, Vol. 9, No. 5, 1988:857-872
    48. R.M.Goldstein, H.A.Zebker, C.L.Werner. "Satellite radar interferometry: Two-dimensional phase unwrapping". Radio Science, Vol. 23, 1988:713-720
    49. C.Prafi, F. Rocca. "Limits to the Resolution of Elevation Maps from Stereo SAR Images". Int. J. Remote Sensing, Vol. 11, No. 12, 1990:2215-2235
    50. A.L.Gray, P.J.Farris-Marming. "Repeat-Pass Interferometry with Airborne Synthetic Aperture Radar". IEEE Trans. On GRS., Vol. 31, No. 1, 1993:180-191
    51. Fuk K.Li, R.M.Goldstein. "Studies of Multibaseline Spaceborne Interferometric Synthetic Aperture Radars". IEEE Trans. On GRS., Vol. 28, No. 1, 1990:88-97
    52. E.Rodriguez, J.M.Martin. "Theory and design of interferometric synthetic aperture radars".IEE Proceedings-F, Vol. 139, No. 2, 1992:147-159
    53. Howard A. Zebker, John Villasenor. "Decorrelation in Interferometric Radar Echoes". IEEE Trans. On GRS., Vol. 30, No. 5, 1992:950-959
    54. Howard A. Zebker, Charles L. Werner, Paul A.Rosen, Scott Hensley. "Accuracy of Topographic Maps Derived from ERS-1 Interferometric Radar". IEEE Trans. On GRS., Vol. 32, No. 4, 1994:823-836
    55. Charles L.Werner, Scott Hensley, et al. "Techniques and Applications of SAR Interferometry for ERS-1: Topographic Mapping, Change Detection, and Slope Measurement". Proceedings First ERS-1 Symposium-Space at the Service of our Environment, 4-6 November 1992:205-210
    56. S.N.Madsen, J.M.Martin, H.A.Zebker. "Analysis and Evaluation of the NASA/JPL TOPSAR Across-Track Interferometric SAR System". IEEE Trans. On GRS., Vol. 33, No. 2, 1995: 383-391
    57. N.P. Faller, E.H.Meier. "First Results with the Airborne Single-Pass DO-SAR Interferometrer". IEEE Trans. On GRS., Vol. 33, No. 5, 1995:1230-1236
    58. c. Wimmer, R.Siegmund, et al. "Generation of High Precision DEMs of the Wadden Sea with Airborne Intefferometric SAR". IEEE Trans. On GRS., Vol. 38, No. 5, 2000:2234-2245
    59. M.E.Bullock, et al. "Commercial Applications of the Intermap IFSARE System".Proceedings of the 3~(rd) International Airborne Remote Sensing Conference and Exhibition, Vol. 1, 1997:34-41
    60. S.N.Madsen, et al. "EMISAR Single-Pass Topographic SAR Interferometer Mode". Proceedings of IGARSS'96, 1996:1358-1360
    61. R.Scheiber. "Single-Pass Interferometry with the E-SAR System of DLR", EUSAR'98, 1998: 47-50
    62. B.Pairault, M.Berthold. "RAMSES Interferometer: Toward High Resolution 3D SAR". EUSAR'98, 1998:87-90
    63. J.H.G. Ender. "Experimental Results Achieved With the Airborne Multi-Channel SAR System AER-Ⅱ". EUSAR'98, 1998:315-318
    64. R.G.White, A.Blake, et al. "Very High Resolution SAR Data". EUSAR'98, 1998:19-24
    
    
    65. D.Massonnet, M.Rossi, et al. "The displacement field of the Landers earthquake mapped by radar interferometry". Nature, Vol. 364, 1993: 138-142
    66. R.Gens, J.L.Van Genderen. "SAR interferometry-issues, techniques, applications". Int. J. Remote Sensing, Vol. 17, No. 10, 1996:1803-1835
    67. S.R.Cloude, K.P. Papathanassiou. "Polarimetric SAR Interferometry". IEEE Trans. On GRS., Vol. 36, No. 5, 1998:1551-1565
    68. Tatsuharu Kobayashi, Toshihiko Umehara, and Makoto Satake: "Airborne Dual-Frequency Polarimetric and Interferometric SAR", IEICE Trans. Commun., Vol. E83-B, No. 9, 2000: 1945-1954
    69. K.Sarabandi, C.G. Brown, and L.Pierce: "Tree Height Estimation from the Polarimetric and Interferometric Radar Response", Proc. IGARSS'99, 1999:1986-1988
    70. Jurgen Gabriel, Christiane Schmullius and Kostas Papathanassiou: "Tree Height Extraction Using Polarimetric SAR Interferometry" , Proc. IGARSS'99, 1999:2131-2133
    71. J.M.Loperz-Sanchez, L.Sagues, and J.Fortuny: "Laboratory Experiments of Polarimetric Radar Interferometry: DEM Generation and Vegetation Height Estimation" , Proc.IGARSS'99, 1999:2206-2208
    72. O.Stebler, P. Pasquali, and D.Nuesch: "Investigation of Multi-baseline Singular Value Estimation Within Pol-InSAR Measurements" , EUSAR'2000, 2000:257-260
    73. G. Nico, J.M.Lopez-Sanchez, and J.Fortuny: "Assessment of the Impact of the Polarimetric Coherence Optimisation on Phase Unwrapping", EUSAR'00. 2000:523-527
    74. M.Hellmann, S.R.Cloude, K.P. Papathanassion. "Classification using Polarimetric and Interferometric SAR-Data". IEEE Proceedings of IGARSS'97, 1997:1411-1413
    75.林德云,李国定。“电磁场理论基础”,清华大学出版社,北京,1994
    76.戴博伟,“多极化合成孔径雷达系统与极化信息处理研究”,博士学位论文,2000
    77. P.A.Rosen, S.Hensley, et al. "Synthetic Aperture Radar Interferometry". Proceedings of the IEEE, Vol. 88, No. 3, 2000:333-382
    78. M.S.Seymour, I.G. Cumming. "Maximum Likelihood Estimation For SAR Interferometry".IEEE Proceedings of IGARSS'94, 1994:2272-2275
    79. D.C.Ghiglia, M.D.Pritt. "Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software". Published by Wiley Com., 1998
    80. G. Fornaro, G. Rranceschetti. "Imgae registration in interferometric SAR processing". IEE Proc. Radar, Sonar, Navig., Vol. 142, 1995:313-320
    81. J.S.Lee, K.P. Papathanassiou. "A new technique for noise filtering of SAR interferometric phase images". IEEE Trans. On GRS., Vol. 36, 1998:1456-1465
    82. Fabio Gatelli, Andrea Monti Guamieri, et al. "The Wavenumber Shift in SAR Interferometry". IEEE Trans. On GRS., Vol. 32, No. 4, 1994:855-865
    83. J.Moreira, M.Schw(?)bisch et al, "X-SAR Interferometry: First Result," IEEE. Trans. On GRS., Vol.33, No.4, 1995:950-955
    84. Q.Lin, J.F. Vesecky and H.A.Zebker, "New Approaches in Interferometric SAR Data Processing," IEEE. Trans. On GRS., Vol.30, No.3, 1992:560-567
    85. R.Scheiber, A.Moreira, "Coregistration of Interferometric SAR Images Using Spectral Diversity," IEEE. Trans. On GRS., Vol.38, No.5, 2000:2179-2191
    86. R.Lanari,G. Fornaro, et al, "Generation of Digital Elevation Models by Using SIR-C/X-SAR Multifrequency Two-Pass Interferometry: The Enta Case Study," IEEE. Trans. On GRS.,
    
    Vol.34, No.5, 1996:1097-1113
    87. G. Fornaro,G. Franceschetti,R.Lanari, et al ,"Global and local phase-unwrapping techniques: a comparison," J. Opt. Soc. Am. A, Vol. 14, No. 10, 1997
    88. W. Xu,I.Cumming, "A Region-Growing Algorithm for InSAR Phase Unwrapping," IEEE. Trans. On GRS., Vol.37, No.3, 1999:124-133
    89. T.J.Flynn. "Consistent 2_D Phase Unwrapping Guided By a Quality Map". IEEE Proceedings of IGARSS'96, 1996:2057-2059
    90. T.J.Flynn. "Two-dimensional phase unwrapping with minimum weighted discontinuity". Journal of the Optical Society of America A, Vol. 14, 1997:2692-2701
    91. M.D.Pritt and J.S.Shipman, "Least-Squares Two-Dimensional Phase Unwrapping Using FFT's" IEEE. Trans. On GRS., Vol.32, No.3, 1994:706-708
    92. D.C.Ghiglia and L.A.Romero, "Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods," J. Opt. Soc. Am. A. Vol. 11,No.1, 1994:107-117
    93. M.D.Pritt, "Phase Unwrapping by Means of Multigrid Techniques for Interferometric SAR," IEEE. Trans. On GRS., Vol.34, No.3, 1996:728-738
    94. G. Fornaro, G. Franceceschetti, et al, "Interferometric SAR Phase unwrapping using the finite element method," IEE. Proc.-Radar, Sonar Navig., Vol.44, No.5, 1997:266-274
    95. M.Contantini, A.Farina, F. Zirilli, "A Fast Phase Unwrapping Alorgrithm for SAR Interferometry," IEEE. Trans. On GRS., Vol.37, No.1, 1999:452-460
    96. K.P. Papathanassiou, S.R.Cloude. "Single-Baseline Polarimetric SAR Interferometry". IEEE Trans. On GRS., Vol. 39, No. 11, 2001:2352-2363
    97. K.P. Papathanassiou, A.Reigber, S.R.Cloude. "Vegetation and ground parameter estimation using polarimetric interferometry, Pan Ⅰ: the role of polarization". Proceedings of CEOS'99, 1999
    98. K.P. Papathanassiou, A.Reigber, S.R.Cloude. "Vegetation and ground parameter estimation using polarimetric interferometry, Part Ⅱ: parameter inversion and optimal polarisations". Proceedings of CEOS'99, 1999
    99. K.P. Papathanassiou, A.Reigber, M.Coltelli. "On the Interferometric Coherence: A Multifrequency and Multitemporal Analysis". Proceedings of PRINGE'96 Workshop, 1996: 319-330
    100. R.N.Treuhaft, M.Moghaddam, B.J.Yoder. "Forest Vertical Structure from Multibaseline Interferometric Radar for Studying Growth and Productivity". Proceedings of IGARSS'97, 1997:1884-1886
    101. M.Coltelli, et al. "SIR-C/X-SAR Multifrequency Multipass Interferometry: A New Tool for Geological Interpretation". Journal of Geophysical Research, Vol. 10, No. E10, 1996:23.127-23.148
    102.R.A.肖温格(美)著,李德熊译,“遥感中的图象处理和分类技术。”科学出版社,北京,1991。
    103. J.A.Kong, et al. "Identification of Terrain Cover Using the Optimum Polarimetric Classifier". Journal of Electromagnetic Wave Application, Vol. 2, No. 2, 1987:171
    104. H.H.Lin, A.A.Schwatz, et al. "Classification of Earth Terrain Using Polarimetric Synthetic Aperture Radar Images". Journal of Geophysical Research, Vol. 94, No. B6, 1989:7049
    105. E.Rignot, R.Chellappa. "Segmentation of Polarimetric Synthetic Aperture Radar Data". IEEE
    
    Trans. On GRS., Vol. 1, No. 3, 1992:281
    106. E.Rignot, R.Chellappa, P. Dubois. "Unsupervised Segmentation of Poalrimetric SAR Data Using the Covariance Matrix". IEEE Trans. On GRS., Vol. 30, No. 4, 1992:697-704
    107. E.Pottier. "Radar Target Decomposition Theorems and Unsupervized Classification of Full Polarimetric SAR Data". IEEE Proceedings of IGARSS'94, 1994:1139-1141
    108. L.Ferro-Famil, E.Pottier, J.S.Lee. "Unsupervised Classification of Multifrequency and Fully Polarimetric SAR Images Based on the H/A/Alpha-Wishart Classifier". IEEE Trans. On GRS., Vol. 39, No. 11, 2001:2332-2341
    109. L.Ferro-Famil, E.Pottier, J.S.Lee. "Unsupervised Classification and Analysis of Natural Scenes from Polarimetric Interferometric SAR Data". IEEE Proceedings of IGARSS'01,2001:2715-2717
    110. L.Ferro-Famil, E.Pottier, J.S.Lee. "Classification and Interpretation of Polarimetric Interferometric SAR Data". IEEE Proceedings of IGARSS'02, 2002:635-637
    111. Thomas Borner. "Development of a coherent scattering model for polarimetric SAR interferometry applications". IEEE Proceedings of IGARSS'99, 1999
    112. K.P. Papathanassiou, A.Reigber, S.R.Cloude. "Single and multi-baseline polarimetric SAR interferometry over forested terrain". Proceedings of EUSAR'2000, 2000:123-126
    113. K.P. Papathanassiou, S.R.Cloude, A.Reigber, W.M.Boerner. "Multi-baseline Polarimetric SAR Interferometry for Vegetation Parameters Estimation". IEEE Proceedings of IGARSS'00,2000
    114. K.P. Papathanassiou, A.Reigber, et al. "Airborne polarimetric SAR interferometry". IEEE Proceedings of IGARSS'98, 1998:1901-1903
    115. Yunjin Kim, Jakob van Zyl. "Single pass polarimetric SAR interferometry". IEEE Proceedings of IGARSS'98, 1998:2190-2191
    116. Yunjin Kim, Jakob van Zyl, Anhua Chu. "Preliminary Results of single pass polarimetric SAR interferometry". IEEE Proceedings of IGARSS'99, 1999:2215-2217
    117. J.S.Lee, M.R.Grunes, et al. "Speckle filtering of SAR data for polarimetric interferometry applications". IEEE Proceedings of IGARSS'99, 1999:2203-2205
    118. D.Kasilingam, M.Nomula, S.Cloude. "A Technique for Removing Vegetation Bias from Polarimetric SAR Interferometry". IEEE Proceedings of IGARSS'02, 2002
    119.李明,胡其正.基于小卫星星座的灾难和环境监测系统,微波遥感技术研讨会论文集,2000年12月:42-48
    120. Walt Seiberling, Laura Traxler-Lee, Sean Collins. A Small Satellite Constellation for Many Uses. SPIE, Vol. 1495, 1991: 32-41
    121. 见网页:http://lightsar.jpl.nasa.gov/lightsar_archive/facts/97/appendix.html

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700