基于临时相干目标监测非城区地表形变
|
摘要
永久散射体干涉测量技术(PSInSAR)地表形变监测能力受限于稳定散射体的空间分布密度,在PS点稀疏的非城区不再有效。本文基于临时相干目标(temporarily coherent targets,TCT)局部时序高相干性和在非城区广泛分布的特点,提出改进算法以解决该难题。该算法通过顾及季节性周期变化筛选干涉对以保留TCT信息,并利用双阈值联合筛选法提取TCT,采用多次差分挖掘、分离TCT相位,最后反演得到TCT形变速率和高程修正量。利用TCT算法,采用24景Sentinel-1A卫星影像提取了靖边县2014-10-23—2016-05-09期间地表形变信息。通过PSInSAR的对比验证,表明临时相干目标时序分析方法能显著提高非城区监测目标空间分布密度并能有效地监测非城区地表形变。
The ground deformation monitoring based on permanent scatterers interferometric synthetic aperture radar(PSInSAR)is limited by the spatial distribution density of the PS,especially in non-urban areas with sparse PS distribution.To address this,an improved algorithm is proposed based on temporarily coherent targets(TCT)which maintain high coherence of partial observation period and whose spatial distribution is rich in nonurban areas.After incorporating the seasonal characteristics of ground scatterers,the algorithm screens the interferometric pair to preserve the TCT which can be distinguished by dual-threshold method.After mining and separating the interferometric phase information by multi-differential process,the deformation velocity and elevation correction of TCT are inversed.Twenty-four Sentinel-1ASAR images,acquired between 2014-10-24 and 2016-05-09,are processed to extract the ground deformation of TCT in Jingbian County,Shaanxi Province.Compared with PSInSAR,the results provide evidence that multitemporal analysis method of temporarily coherent targets can significantly increase the spatial distribution density of monitoring targets,as well as effectively and reliably monitor the ground deformation in non-urban areas.
The ground deformation monitoring based on permanent scatterers interferometric synthetic aperture radar(PSInSAR)is limited by the spatial distribution density of the PS,especially in non-urban areas with sparse PS distribution.To address this,an improved algorithm is proposed based on temporarily coherent targets(TCT)which maintain high coherence of partial observation period and whose spatial distribution is rich in nonurban areas.After incorporating the seasonal characteristics of ground scatterers,the algorithm screens the interferometric pair to preserve the TCT which can be distinguished by dual-threshold method.After mining and separating the interferometric phase information by multi-differential process,the deformation velocity and elevation correction of TCT are inversed.Twenty-four Sentinel-1ASAR images,acquired between 2014-10-24 and 2016-05-09,are processed to extract the ground deformation of TCT in Jingbian County,Shaanxi Province.Compared with PSInSAR,the results provide evidence that multitemporal analysis method of temporarily coherent targets can significantly increase the spatial distribution density of monitoring targets,as well as effectively and reliably monitor the ground deformation in non-urban areas.
引文
[1]FERRETTI A,PRATI C,ROCCA F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[2]KAMPES B M,HANSSEN R F.Ambiguity resolution for permanent scatterer interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(11):2446-2453.
[3]FERRETTI A,PRATI C,ROCCA F.Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[4]COLESANTI C,FERRETTI A,NOVALI F,et al.SARmonitoring of progressive and seasonal ground deformation using the permanent scatterers technique[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(7):1685-1701.
[5]秦晓琼,杨梦诗,王寒梅,等.高分辨率PS-InSAR在轨道交通形变特征探测中的应用[J].测绘学报,2016,45(6):713-721.DOI:10.11947/j.AGCS.2016.20150440.QIN Xiaoqiong,YANG Mengshi,WANG Hanmei,et al.Application of high-resolution PS-InSAR in deformation characteristics probe of urban rail transit[J].Acta Geodaetica et Cartographica Sinica,2016,45(6):713-721.DOI:10.11947/j.AGCS.2016.20150440.
[6]刘晓龙,张永红,宋伟东.时序PSInSAR研究建筑物高度信息提取[J].武汉大学学报(信息科学版),2017,42(4):482-487,524.LIU Xiaolong,ZHANG Yonghong,SONG Weidong.Building height information extracting technique based on PSInSAR[J].Geomatics and Information Science of Wuhan University,2017,42(4):482-487,524.
[7]CIAMPALINI A,RASPINI F,LAGOMARSINO D,et al.Landslide susceptibility map refinement using PSInSARdata[J].Remote Sensing of Environment,2016,184(2):302-315.
[8]FERRETTI A,FUMAGALLI A,NOVALI F,et al.Anew algorithm for processing interferometric data-stacks:SqueeSAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3460-3470.
[9]NG H M,GE L L,DU Z Y,et al.Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2,Sentinel-1and ALOS-2data[J].International Journal of Applied Earth Observation and Geoinformation,2017,61(1):92-103.
[10]李永生,张景发,罗毅,等.利用高分辨率聚束模式TerraSAR-X影像的PSInSAR监测地表变形[J].武汉大学学报(信息科学版),2012,37(12):1452-1455.LI Yongsheng,ZHANG Jingfa,LUO Yi,et al.Monitoring land deformation using PSInSAR with TerraSAR-X high resolution spotlight SAR images[J].Geomatics and Information Science of Wuhan University,2012,37(12):1452-1455.
[11]邢学敏.CRInSAR与PSInSAR联合监测矿区时序地表形变研究[J].测绘学报,2014,43(8):878.DOI:10.13485/j.cnki.11-2089.2014.0081.XING Xuemin.Study on monitoring the time series ground deformation in mining area based on CRInSAR and PSInSAR integration[J].Acta Geodaetica et Cartographica Sinica,2014,43(8):878.DOI:10.13485/j.cnki.11-2089.2014.0081.
[12]徐小波,屈春燕,单新建,等.CR-InSAR与PS-InSAR联合解算方法及在西秦岭断裂中段缓慢变形研究中的应用[J].地球物理学报,2016,59(8):2796-2805.XU Xiaobo,QU Chunyan,SHAN Xinjian,et al.Mapping slow deformation of the middle segment of the West Qinling Fault using the combined algorithm of CR-InSAR and PS-InSAR[J].Chinese Journal of Geophysics,2016,59(8):2796-2805.
[13]HOOPER A,ZEBKER H,SEGALL P,et al.A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J].Geophysical Research Letters,2004,31(23):1-5.
[14]HOOPER A.A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches[J].Geophysical Research Letters,2008,35(16):96-106.
[15]BLANCO-SNCHEZ P,MALLORQUJ J,DUQUE S,et al.The coherent pixels technique(CPT):an advanced DInSAR technique for nonlinear deformation monitoring[J].Pure and Applied Geophysics,2008,165(6):1167-1193.
[16]BLANCO P,MALLORQUI J,DUQUE S,et al.Advances on DInSAR with ERS and Envisat data using the coherent pixels technique(CPT)[C]∥Proceedings of 2016IEEEInternational Symposium on Geoscience and Remote Sensing.Denver,CO:IEEE,2006:1898-1901.
[17]ZHANG Lei,LU Zhong,DING Xiaoli,et al.Mapping ground surface deformation using temporarily coherent point SAR interferometry:application to Los Angeles Basin[J].Remote Sensing of Environment,2012,117(1):429-439.
[18]ZHANG Lei,DING Xiaoli,LU Zhong,et al.A novel multitemporal InSAR model for joint estimation of deformation rates and orbital errors[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(6):3529-3540.
[19]PERISSIN D,WANG Teng.Repeat-pass SAR interferometry with partially coherent targets[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(1):271-280.
[20]刘国祥,陈强,丁晓利.基于雷达干涉永久散射体网络探测地表形变的算法与实验结果[J].测绘学报,2007,36(1):13-18.LIU Guoxiang,CHEN Qiang,DING Xiaoli.Detecting ground deformation with permanent-scatterer network in radar interferometry:algorithm and testing results[J].Acta Geodaetica et Cartographica Sinica,2007,36(1):13-18.
[21]BERARDINO P,FORNARO G,LANARI R,et al.Anew algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[22]LIU Guoxiang.Mapping of Earth deformations with satellite SAR interferometry:a study of its accuracy and reliability performances[D].Hong Kong,China:The Hong Kong Polytechnic University,2003.
[23]PAPOULIS A.Probability,random variables,and stochastic processes[M].New York:McGraw-Hill,1984.
[24]陈强,刘国祥,李永树,等.干涉雷达永久散射体自动探测---算法与实验结果[J].测绘学报,2006,35(2):112-117.CHEN Qiang,LIU Guoxiang,LI Yongshu,et al.Automated detection of permanent scatterers in radar interferometry:algorithm and testing results[J].Acta Geodaetica et Cartographica Sinica,2006,35(2):112-117.
[25]陈强,刘国祥,丁晓利,等.永久散射体雷达差分干涉应用于区域地表沉降探测[J].地球物理学报,2007,50(3):737-743.CHEN Qiang,LIU Guoxiang,DING Xiaoli,et al.Radar differential interferometry based on permanent scatterers and its application to detecting regional ground subsidence[J].Chinese Journal of Geophysics,2007,50(3):737-743.
[26]李德仁,廖明生,王艳.永久散射体雷达干涉测量技术[J].武汉大学学报(信息科学版),2004,29(8):664-668.LI Deren,LIAO Mingsheng,WANG Yan.Progress of permanent scatterer interferometry[J].Geomatics and Information Science of Wuhan University,2004,29(8):664-668.
[27]朱建军,李志伟,胡俊.InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.DOI:10.11947/j.AGCS.2017.20170350.ZHU Jianjun,LI Zhiwei,HU Jun.Research progress and methods of InSAR for deformation monitoring[J].Acta Geodaetica et Cartographica Sinica,2017,46(10):1717-1733.DOI:10.11947/j.AGCS.2017.20170350.
[2]KAMPES B M,HANSSEN R F.Ambiguity resolution for permanent scatterer interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(11):2446-2453.
[3]FERRETTI A,PRATI C,ROCCA F.Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[4]COLESANTI C,FERRETTI A,NOVALI F,et al.SARmonitoring of progressive and seasonal ground deformation using the permanent scatterers technique[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(7):1685-1701.
[5]秦晓琼,杨梦诗,王寒梅,等.高分辨率PS-InSAR在轨道交通形变特征探测中的应用[J].测绘学报,2016,45(6):713-721.DOI:10.11947/j.AGCS.2016.20150440.QIN Xiaoqiong,YANG Mengshi,WANG Hanmei,et al.Application of high-resolution PS-InSAR in deformation characteristics probe of urban rail transit[J].Acta Geodaetica et Cartographica Sinica,2016,45(6):713-721.DOI:10.11947/j.AGCS.2016.20150440.
[6]刘晓龙,张永红,宋伟东.时序PSInSAR研究建筑物高度信息提取[J].武汉大学学报(信息科学版),2017,42(4):482-487,524.LIU Xiaolong,ZHANG Yonghong,SONG Weidong.Building height information extracting technique based on PSInSAR[J].Geomatics and Information Science of Wuhan University,2017,42(4):482-487,524.
[7]CIAMPALINI A,RASPINI F,LAGOMARSINO D,et al.Landslide susceptibility map refinement using PSInSARdata[J].Remote Sensing of Environment,2016,184(2):302-315.
[8]FERRETTI A,FUMAGALLI A,NOVALI F,et al.Anew algorithm for processing interferometric data-stacks:SqueeSAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3460-3470.
[9]NG H M,GE L L,DU Z Y,et al.Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2,Sentinel-1and ALOS-2data[J].International Journal of Applied Earth Observation and Geoinformation,2017,61(1):92-103.
[10]李永生,张景发,罗毅,等.利用高分辨率聚束模式TerraSAR-X影像的PSInSAR监测地表变形[J].武汉大学学报(信息科学版),2012,37(12):1452-1455.LI Yongsheng,ZHANG Jingfa,LUO Yi,et al.Monitoring land deformation using PSInSAR with TerraSAR-X high resolution spotlight SAR images[J].Geomatics and Information Science of Wuhan University,2012,37(12):1452-1455.
[11]邢学敏.CRInSAR与PSInSAR联合监测矿区时序地表形变研究[J].测绘学报,2014,43(8):878.DOI:10.13485/j.cnki.11-2089.2014.0081.XING Xuemin.Study on monitoring the time series ground deformation in mining area based on CRInSAR and PSInSAR integration[J].Acta Geodaetica et Cartographica Sinica,2014,43(8):878.DOI:10.13485/j.cnki.11-2089.2014.0081.
[12]徐小波,屈春燕,单新建,等.CR-InSAR与PS-InSAR联合解算方法及在西秦岭断裂中段缓慢变形研究中的应用[J].地球物理学报,2016,59(8):2796-2805.XU Xiaobo,QU Chunyan,SHAN Xinjian,et al.Mapping slow deformation of the middle segment of the West Qinling Fault using the combined algorithm of CR-InSAR and PS-InSAR[J].Chinese Journal of Geophysics,2016,59(8):2796-2805.
[13]HOOPER A,ZEBKER H,SEGALL P,et al.A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J].Geophysical Research Letters,2004,31(23):1-5.
[14]HOOPER A.A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches[J].Geophysical Research Letters,2008,35(16):96-106.
[15]BLANCO-SNCHEZ P,MALLORQUJ J,DUQUE S,et al.The coherent pixels technique(CPT):an advanced DInSAR technique for nonlinear deformation monitoring[J].Pure and Applied Geophysics,2008,165(6):1167-1193.
[16]BLANCO P,MALLORQUI J,DUQUE S,et al.Advances on DInSAR with ERS and Envisat data using the coherent pixels technique(CPT)[C]∥Proceedings of 2016IEEEInternational Symposium on Geoscience and Remote Sensing.Denver,CO:IEEE,2006:1898-1901.
[17]ZHANG Lei,LU Zhong,DING Xiaoli,et al.Mapping ground surface deformation using temporarily coherent point SAR interferometry:application to Los Angeles Basin[J].Remote Sensing of Environment,2012,117(1):429-439.
[18]ZHANG Lei,DING Xiaoli,LU Zhong,et al.A novel multitemporal InSAR model for joint estimation of deformation rates and orbital errors[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(6):3529-3540.
[19]PERISSIN D,WANG Teng.Repeat-pass SAR interferometry with partially coherent targets[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(1):271-280.
[20]刘国祥,陈强,丁晓利.基于雷达干涉永久散射体网络探测地表形变的算法与实验结果[J].测绘学报,2007,36(1):13-18.LIU Guoxiang,CHEN Qiang,DING Xiaoli.Detecting ground deformation with permanent-scatterer network in radar interferometry:algorithm and testing results[J].Acta Geodaetica et Cartographica Sinica,2007,36(1):13-18.
[21]BERARDINO P,FORNARO G,LANARI R,et al.Anew algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[22]LIU Guoxiang.Mapping of Earth deformations with satellite SAR interferometry:a study of its accuracy and reliability performances[D].Hong Kong,China:The Hong Kong Polytechnic University,2003.
[23]PAPOULIS A.Probability,random variables,and stochastic processes[M].New York:McGraw-Hill,1984.
[24]陈强,刘国祥,李永树,等.干涉雷达永久散射体自动探测---算法与实验结果[J].测绘学报,2006,35(2):112-117.CHEN Qiang,LIU Guoxiang,LI Yongshu,et al.Automated detection of permanent scatterers in radar interferometry:algorithm and testing results[J].Acta Geodaetica et Cartographica Sinica,2006,35(2):112-117.
[25]陈强,刘国祥,丁晓利,等.永久散射体雷达差分干涉应用于区域地表沉降探测[J].地球物理学报,2007,50(3):737-743.CHEN Qiang,LIU Guoxiang,DING Xiaoli,et al.Radar differential interferometry based on permanent scatterers and its application to detecting regional ground subsidence[J].Chinese Journal of Geophysics,2007,50(3):737-743.
[26]李德仁,廖明生,王艳.永久散射体雷达干涉测量技术[J].武汉大学学报(信息科学版),2004,29(8):664-668.LI Deren,LIAO Mingsheng,WANG Yan.Progress of permanent scatterer interferometry[J].Geomatics and Information Science of Wuhan University,2004,29(8):664-668.
[27]朱建军,李志伟,胡俊.InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.DOI:10.11947/j.AGCS.2017.20170350.ZHU Jianjun,LI Zhiwei,HU Jun.Research progress and methods of InSAR for deformation monitoring[J].Acta Geodaetica et Cartographica Sinica,2017,46(10):1717-1733.DOI:10.11947/j.AGCS.2017.20170350.