利用合成孔径雷达幅度提取同质点的方法比较
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摘要
针对InSAR研究中同质点有效提取的问题,对目前流行的几种同质点识别方法开展了一系列比较研究。首先对上述几种同质点提取算法的基本原理进行了简要介绍,然后基于数学模拟方法和高分辨率TerraSAR影像进行了深入的实验对比。结果表明,基于幅度向量分布相似性检验的方法中,BWS检验法功效最高;而FaSHPS算法在计算效率方面有着极大的优势,且较基于BWS法的幅度向量分布相似性检验法而言,对地物变化更为敏感。
According to the effective extraction of statistically homogeneous pixels in the field of InSAR research,a comparative study of five current popular methods has been carried out.First of all,the basic principles of the above statistically homogeneous pixel extraction algorithms are briefly introduced.Then,based on mathematical simulation methods and highresolution TerraSAR images,a deep comparison is made.The results show that BWS test is the most effective method among the four first-kind tests;FaSHPS method has a great advantage in computing efficiency,and is more sensitive to changes than BWS test.
According to the effective extraction of statistically homogeneous pixels in the field of InSAR research,a comparative study of five current popular methods has been carried out.First of all,the basic principles of the above statistically homogeneous pixel extraction algorithms are briefly introduced.Then,based on mathematical simulation methods and highresolution TerraSAR images,a deep comparison is made.The results show that BWS test is the most effective method among the four first-kind tests;FaSHPS method has a great advantage in computing efficiency,and is more sensitive to changes than BWS test.
引文
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[3]蒋弥,丁晓利,李志伟,等.基于时间序列的InSAR相干性量级估计[J].地球物理学报,2013,56(3):799-811.
[4]FORNARO G,VERDE S,REALE D,et al.CAESAR:an approach based on covariance matrix decomposition to improve multibaseline-multitemporal interferometric SAR processing[J].IEEE Transactions on Geoscience &Remote Sensing,2015,53(4):2050-2065.
[5]PARIZZI A,BRCIC R.Amplitude based InSAR stack multi-looking:performance and applications[C]∥Geoscience and Remote Sensing Symposium(IGARSS),2011IEEE International.IEEE,2011:1489-1492.
[6]WANG Y,ZHU X X,BAMLER R.Optimal estimation of distributed scatterer phase history parameters from meterresolution SAR data[J].2011:3468-3471.
[7]JIANG M,DING X L,LI Z W.Hybrid approach for unbiased coherence estimation for multitemporal InSAR[J].IEEE Transactions on Geoscience &Remote Sensing,2014,52(5):2459-2473.
[8]ZHANG Z,WANG C,TANG Y,et al.Analysis of ground subsidence at a coal-mining area in Huainan using time-series InSAR[J].International Journal of Remote Sensing,2015,36(23):5790-5810.
[9]JIANG M,DING X,HANSSEN R F,et al.Fast statistically homogeneous pixel selection for covariance matrix estimation for multitemporal InSAR[J].IEEE Transactions on Geoscience &Remote Sensing,2015,53(3):1213-1224.
[10]SCHMITT M,SCHONBERGER J L,STILLA U.Adaptive covariance matrix estimation for multi-baseline InSAR data stacks[J].IEEE Transactions on Geoscience &Remote Sensing,2014,52(11):6807-6817.
[11]PARIZZI A,BRCIC R.Adaptive InSAR stack multilooking exploiting amplitude statistics:a comparison between different techniques and practical results[J].IEEE Geoscience &Remote Sensing Letters,2011,8(3):441-445.
[12]PAPOULIS A.Probability,random variables,and stochastic processes[M].New York:McGraw-Hill,1984.
[13]ANDERSON T W,DARLING D A.Asymptotic theory of certain“goodness of fit”criteria based on stochastic processes[J].The Annals of Mathematical Statistics,1952,23(2):193-212.
[14]ANDERSON T W.On the distribution of the two-sample cramer-von mises criterion[J].Annals of Mathematical Statistics,1962,34(1):1148-1159.
[15]PETTITT A N.A two-sample anderson-darling rank statistic[J].Biometrika.Biometrika,1976,63(1):161-168.
[16]GOEL K,ADAM N.A Distribution scatterer interferometry approach for precision monitoring of known surface deformation phenomena[J].IEEE Transactions on Geoscience &Remote Sensing,2014,52(9):5454-5468.
[17]BAUMGARTNER W,WEIΒP,SCHINDLER H.A Nonparametric test for the general two-sample problem[J].Biometrics,1998,54(3):1129-1135.
[18]MEUHAUSER M.Exact tests based on the baumgartner-weiβ-schindler statistic:a survey[J].Statistical Papers,2005,46(1):1-29.
[19]ARGENTI F,LAPINI A,BIANCHI T,et al.A tutorial on speckle reduction in synthetic aperture radar images[J].Geoscience &Remote Sensing Magazine IEEE,2013,1(3):6-35.
[20]LEE J S,POTTIER E.Polarimetric radar imaging:from basics to applications[J].Francis Group Boca Raton Isbn,2009.
[21]蒋弥,丁晓利,何秀凤,等.基于快速分布式目标探测的时序雷达干涉测量方法:以Lost Hills油藏区为例[J].地球物理学报,2016,59(10):3592-3603.
[22]JIANG M,MIAO Z,GAMBA P,et al.Application of multitemporal InSAR covariance and information fusion to robust road extraction[J].IEEE Transactions on Geoscience &Remote Sensing,2017,55(6):3611-3622.
[23]DELEDALLE C A,DENIS L,TUPIN F.NL-InSAR:nonlocal interferogram estimation[J].IEEE Transactions on Geoscience &Remote Sensing,2011,49(4):1441-1452.