基于DS-InSAR的复杂山区铁路沿线形变监测研究
|
摘要
选用穿透性较好的长波段高分辨率卫星雷达数据,对渝怀铁路重庆彭水段沿线进行地表形变监测研究。试验在西南复杂山区低相干条件下,采用分布式散射体干涉测量技术(DS-InSAR)进行铁路沿线地表变形监测的应用效果。研究中采用了干涉目标点分析(IPTA)方法,综合使用雷达影像的频谱信息、后向散射信息和时相稳定性信息提取永久散射点(PS)和分布式散射点(DS),获取了试验研究区域地面形变时间序列。研究表明:采用PS+DS点的SqueeSAR方法,可以提取铁路沿线较高密度的监测点,表明时序InSAR监测技术,一定程度上可为运营铁路线路的安全性评价提供部分直接科学依据。
The long-wavelength high-resolution satellite radar data with good penetration is used to monitor and study the surface deformation along the Pengshui section of Chongqing-Huaihua railway. Under the condition of low coherence in the complex mountainous area of Southwest China, the DS-InSAR was used to monitor and analyze the surface deformation along the railway. This paper, combining the spectral information, backscattering information and phase stability information of the radar image, adopts the Interferometric Target Point Analysis(IPTA) method to extract the permanent scattering point(PS) and the distributed scattering point(DS), and got the time series of the ground deformation in the test area. The research shows that the SqueeSAR method with PS+DS point enables the extraction of monitoring points with higher density along the railway, indicating that to a certain extent, the sequential InSAR monitoring technology can provide some direct scientific basis for the safety evaluation of the operating railway lines.
The long-wavelength high-resolution satellite radar data with good penetration is used to monitor and study the surface deformation along the Pengshui section of Chongqing-Huaihua railway. Under the condition of low coherence in the complex mountainous area of Southwest China, the DS-InSAR was used to monitor and analyze the surface deformation along the railway. This paper, combining the spectral information, backscattering information and phase stability information of the radar image, adopts the Interferometric Target Point Analysis(IPTA) method to extract the permanent scattering point(PS) and the distributed scattering point(DS), and got the time series of the ground deformation in the test area. The research shows that the SqueeSAR method with PS+DS point enables the extraction of monitoring points with higher density along the railway, indicating that to a certain extent, the sequential InSAR monitoring technology can provide some direct scientific basis for the safety evaluation of the operating railway lines.
引文
[1]林珲.多基线差分雷达干涉测量的大型人工线状地物形变监测[J].地理信息科学学报,2010,12(5):719-725.
[2]谭衢霖,沈伟,杨松林,等.摄影测量与遥感在我国铁路建设中的应用综述[J].铁道工程学报,2007,24(1):13-19.
[3]江桥,彭军还,杨红磊,等.改进小基线集技术的GB-InSAR铁路边坡监测[J].测绘科学,2017,42(12):140-145,150.
[4]谭衢霖,杨松林,魏庆朝.合成孔径雷达干涉测量技术及铁路工程应用分析[J].铁道工程学报,2008,25(1):11-16.
[5]李广宇,张瑞,刘国祥,等.Sentinel-1A TS-DInSAR京津冀地区沉降监测与分析[J].遥感学报,2018,22(4):633-646.
[6]FERRETTI A,PRATI C,ROCCA F.Nonlinear subsidence rate estimation using permanent scatterers differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2 202-2 212.
[7]BERARDINO P,FORNARO G,LANARI R,et al.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2 375-2 383.
[8]LANARI R,MORA O,MANUNTA M.A small baseline approach for investigating deformations on full-resolution differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(7):1 377-1 386.
[9]MORA O,MALLORQUI J J,BROQUETAS A.Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(10):2 243-2 253.
[10]FERRETTI A,FUMAGALLI A,NOVALI F,et al.A new algorithm for processing interferometric data-stacks:Squee SAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3 460-3 470.
[11]李涛.基于点面散射体的多时相雷达干涉模型与形变探测方法[D].成都:西南交通大学,2014.
[12]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):3 592-3 603.
[13]王明洲,李陶,江利明,等.地表形变监测的改进相干目标法[J].测绘学报,2016,45(1):36-43.
[14]白云峰,周德培,王科,等.渝怀铁路沿线滑坡发育特征[J].铁道建筑,2004(2):42-45.
[15]敬洪武.成渝铁路关键桥梁轨道不平顺性分析[J].中国铁路,2017(6):36-42.
[16]陈建国.铁路防洪风险研判制约因素的分析与对策[J].中国铁路,2016(9):27-31.
[2]谭衢霖,沈伟,杨松林,等.摄影测量与遥感在我国铁路建设中的应用综述[J].铁道工程学报,2007,24(1):13-19.
[3]江桥,彭军还,杨红磊,等.改进小基线集技术的GB-InSAR铁路边坡监测[J].测绘科学,2017,42(12):140-145,150.
[4]谭衢霖,杨松林,魏庆朝.合成孔径雷达干涉测量技术及铁路工程应用分析[J].铁道工程学报,2008,25(1):11-16.
[5]李广宇,张瑞,刘国祥,等.Sentinel-1A TS-DInSAR京津冀地区沉降监测与分析[J].遥感学报,2018,22(4):633-646.
[6]FERRETTI A,PRATI C,ROCCA F.Nonlinear subsidence rate estimation using permanent scatterers differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2 202-2 212.
[7]BERARDINO P,FORNARO G,LANARI R,et al.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2 375-2 383.
[8]LANARI R,MORA O,MANUNTA M.A small baseline approach for investigating deformations on full-resolution differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(7):1 377-1 386.
[9]MORA O,MALLORQUI J J,BROQUETAS A.Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(10):2 243-2 253.
[10]FERRETTI A,FUMAGALLI A,NOVALI F,et al.A new algorithm for processing interferometric data-stacks:Squee SAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3 460-3 470.
[11]李涛.基于点面散射体的多时相雷达干涉模型与形变探测方法[D].成都:西南交通大学,2014.
[12]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):3 592-3 603.
[13]王明洲,李陶,江利明,等.地表形变监测的改进相干目标法[J].测绘学报,2016,45(1):36-43.
[14]白云峰,周德培,王科,等.渝怀铁路沿线滑坡发育特征[J].铁道建筑,2004(2):42-45.
[15]敬洪武.成渝铁路关键桥梁轨道不平顺性分析[J].中国铁路,2017(6):36-42.
[16]陈建国.铁路防洪风险研判制约因素的分析与对策[J].中国铁路,2016(9):27-31.