基于多轨道SAR影像的矿区地表三维变形动态监测与分析
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摘要
针对单一轨道合成孔径雷达差分干涉测量技术(Different Interferometric Synthetic Aperture Radar,DInSAR)技术仅能获取雷达视线向(Line of Sight,LoS)的变形问题,提出了一种基于多轨道SAR影像的矿区地表三维变形动态监测与分析方法。该方法以覆盖邯郸市峰峰九龙矿区的TerraSAR、RadarSAT-2、Sentienl-1卫星3个轨道多景SAR影像数据为基础,首先采用D-InSAR技术获取3组地表视线向变形,利用插值方法将地表视线向变形规划到相同的时间间隔,获得时间间隔为6 d、17 d、39 d、50 d的3组视线向的变形值;然后根据最小二乘原理将视线向变形分解到竖直、东西、南北等方向上进行三维分析。研究表明:①与实测水准数据对比,该方法得到的竖直向沉降均方根误差仅为±2 mm,表明利用矿区地表三维变形特征分析开采沉陷规律具有可行性;②时序累积的三维变形场能够直观展示地面沉降的时空变化过程,可以进一步分析沉降中心随着观测时间推进的变化过程。
In order to solve the problem that the deformation of the line of sight(LoS)can only be obtained by singletrack D-InSAR(different interferometric synthetic aperture radar)technology,a three-dimensional dynamic monitoring and analysis method of surface deformation in mining area based on multi-orbit SAR image is studied. Based on TerraSAR,RadarSAT-2 and Sentienl-1 satellite multi-view SAR image data covering Fengfeng Jiulong mining area in Handan City,this method adopts traditional D-InSAR technology to acquire three groups of ground line-of-sight deformation,and uses the interpolation to plan the ground line-of-sight deformation to the same time interval,to obtain three groups of line-of-sight deformations with a time interval of 6,17,39 and 50 days.Then,the line-of-sight deformation is decomposed into vertical,east-west and northsouth deformation by using the least square principle.The study results show that:①the root mean square error of vertical subsidence obtained by this method is only +2 mm by compared with the measured level data,meanwhile,the feasibility of mining subsidence law analyzed by using three-dimensional surface deformation of mining area is verified;②the time-series cumulative three-dimensional deformation field can visually show the spatial and temporal change process of land subsidence,and the change process of the subsidence center along with the observation time in the mining area can be clearly analyzed.
In order to solve the problem that the deformation of the line of sight(LoS)can only be obtained by singletrack D-InSAR(different interferometric synthetic aperture radar)technology,a three-dimensional dynamic monitoring and analysis method of surface deformation in mining area based on multi-orbit SAR image is studied. Based on TerraSAR,RadarSAT-2 and Sentienl-1 satellite multi-view SAR image data covering Fengfeng Jiulong mining area in Handan City,this method adopts traditional D-InSAR technology to acquire three groups of ground line-of-sight deformation,and uses the interpolation to plan the ground line-of-sight deformation to the same time interval,to obtain three groups of line-of-sight deformations with a time interval of 6,17,39 and 50 days.Then,the line-of-sight deformation is decomposed into vertical,east-west and northsouth deformation by using the least square principle.The study results show that:①the root mean square error of vertical subsidence obtained by this method is only +2 mm by compared with the measured level data,meanwhile,the feasibility of mining subsidence law analyzed by using three-dimensional surface deformation of mining area is verified;②the time-series cumulative three-dimensional deformation field can visually show the spatial and temporal change process of land subsidence,and the change process of the subsidence center along with the observation time in the mining area can be clearly analyzed.
引文
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[13]Zeng T,Ghulam A,Yang W N,et al.Estimating the contribution of loose deposits to potential landslides over Wenchuan earthquake zone,China[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(2):750-762.
[14]成晓倩，马超，康建荣，等.联合DInSAR和PIM技术的沉陷特征模拟和时序分析[J].中国矿业大学学报，2018,47(5):1141-1148.Cheng Xiaoqian,Ma Chao,Kang Jianrong,et al.Simulation and time series analysis of mining subsidence by integrating DInSARand PIM technology[J].Journal of China University of Mining and Technology,2018,47(5):1141-1148.
[15]洪顺英.基于多视线向DInSAR技术的三维同震形变场解算方法研究及应用[D].北京：中国地震局地质研究所，2010.Hong Shunying.The Resolving Methods for the 3D Coseismic Deformation Field Based on the Multi-LOS DIn SAR Technology and Applications[D].Beijing:Institute of Geology,China Earthquake Administration,2010.
[16]祝传广，邓喀中，张继贤，等.基于多源SAR影像矿区三维形变场的监测[J].煤炭学报，2014,39(4):673-678.Zhu Chuanguang,Deng Kazhong,Zhang Jixian,et al.Three-dimensional deformation field detection based on multi-source SAR imagery in mining area[J].Journal of China Coal Society,2014,39(4):673-678.
[17]刘茜茜.基于多源星载SAR数据的矿区地面沉降监测研究[D].徐州：中国矿业大学，2018.Liu Qianqian.Study on Ground Subsidence Monitoring in Mining Area Based on Based on Multi Spaceborne SAR Images[D].Xuzhou:China University of Mining and Technology,2018.
[18]祝传广.融合多源SAR影像的形变监测研究[D].徐州：中国矿业大学，2015.Zhu Chuanguang.Study on the Deformation Monitoring Based on Integrating of Multi-source SAR Images[D].Xuzhou:China University of Mining and Technology,2015.
[19]Jung H S,Lu Z,Won J S,et al.Mapping three-dimensional surface deformation by combining multiple-aperture interferometry and conventional interferometry:application to the June 2007 eruption of Kilauea Volcano,Hawaii[J].IEEE Geoscience and Remote Sensing Letters,2011,8(1):34-38.
[20]Hu J,Li Z W,Li J,et al.3-D movement mapping of the alpine glacier in Qinghai-Tibetan Plateau by integrating D-InSAR,MAI and offset-tracking:case study of the Dongkemadi Glacier[J].Global and Planetary Change,2014,118:62-68.
[21]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.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.
[22]高晓雄，李达，高明章.基于DInSAR技术的矿区地表三维形变监测[J].煤炭技术，2016,35(7):100-102.Gao Xiaoxiong,Li Da,Gao Mingzhang.Three-dimensional surface deformation detection of mining area based on DInSAR technology[J].Coal Technology,2016,35(7):100-102.
[23]范洪冬，高晓雄，邓喀中，等.基于多轨道SAR的老采空区地表三维形变监测[J].采矿与安全工程学报，2017,34(6):1156-1161.Fan Hongdong,Gao Xiaoxiong,Deng Kazhong,et al.Detection of the three-dimensional surface deformation above the abandoned goaf based on SAR[J].Journal of Mining&Safety Engineering,2017,34(6):1156-1161.
[24]郑美楠，刘沂轩，邓喀中，等.基于DInSAR与概率积分法的铁路变形监测与预测[J].测绘通报，2017(1):106-111.Zheng Meinan,Liu Yixuan,Deng Kazhong,et al.Monitoring and prediction of railway deformation based on DInSAR and probability integral method[J].Bulletin of Surveying and Mapping,2017(1):106-111.
[2]魏海霞，高照忠，叶长斌.融合D-InSAR技术与ArcGIS软件的矿区开采沉陷监测[J].金属矿山，2016(11):128-131.Wei Haixia,Gao Zhaozhong,Ye Changbin.Mining subsidence monitoring method based on D-InSAR technology and ArcGIS software[J].Metal Mine,2016(11):128-131.
[3]刘晓帮，卢小平，郭亚飞.PS-InSAR技术在矿区地表形变监测中的分析与应用[J].测绘与空间地理信息，2018,41(12):57-60.Liu Xiaobang,Lu Xiaoping,Guo Yafei.Anlysis and application of PS-InSAR technology in surface deformation montoring of mining area[J].Geomatics&Spatial Information Technology,2018,41(12):57-60.
[4]杨泽发.基于单轨InSAR数据的矿区地表三维形变监测与预计研究[J].地理与地理信息科学，2018,34(4):125.Yang Zefa.Retrieving and predicting mining-induced 3-D displacements from a single imaging geometry InSAR datase[tJ].Geography and Geo-Information Science,2018,34(4):125.
[5]朱建军，杨泽发，李志伟.InSAR矿区地表三维形变监测与预计研究进展[J].测绘学报，2019,48(2):135-144.Zhu Jianjun,Yang Zefa,Li Zhiwei.Recent progress in retrieving and predicting mining-induced 3D displace-ments using InSAR[J].Acta Geodaetica et Cartographica Sinica,2019,48(2):135-144.
[6]苗树平.基于GNSS技术的矿区地表三维形变监测研究[J].现代矿业，2015(3):105-106.Miao Shuping.Three-dimensional surface deformation monitoring of mining area based on GNSS technology[J].Modern Mining,2015,31(3):105-106.
[7]杨晓玉.测量机器人在矿区地表动态变形监测中的应用[J].煤矿安全，2016,47(5):137-140.Yang Xiaoyu.Application of measurement robot in surface dynamic deformation monitoring of mining area[J].Safety in Coal Mines,2016,47(5):137-140
[8]李强，邓辉，周毅.三维激光扫描在矿区地面沉陷变形监测中的应用[J].中国地质灾害与防治学报，2014,25(1):119-124.LI Qiang,Deng Hui,Zhou Yi.Application of 3D laser scanning to the ground subsidence deformation monitoring in mining area[J].The Chinese Journal of Geological Hazard and Control,2014,25(1):119-124
[9]范洪冬.InSAR若干关键算法及其在地表沉降监测中的应用研究[D].徐州：中国矿业大学，2010.Fan Hongdong.Study on Several Key Algorithms of InSAR Technique and Its Application in Land Subsidence Monitoring[D].Xuzhou:China University of Mining and Technology,2010.
[10]邓宇声.基于InSAR技术的矿区地表沉降监测及预测[D].南昌：东华理工大学，2017.Deng Yusheng.Research on Surface Subsidence Monitoring of Coal Mining Area Based on D-InSAR Technology[D].Nanchang:East China University of Technology,2017.
[11]马海涛，李辉，刘勇峰，等.D-InSAR技术在矿区地表沉降监测中的应用[J].金属矿山，2011(2):95-98.Ma Haitao,Li Hui,Liu Yongfeng,et al.Application of D-InSARtechnique to the land subsidence monitoring in mining area[J].Metal Mine,2011(2):95-98.
[12]Sun Q,Zhang L,Ding X,et al.Slope deformation prior to Zhouqu,China landslide from InSAR time series analysis[J].Remote Sensing of Environment,2015,156:45-57.
[13]Zeng T,Ghulam A,Yang W N,et al.Estimating the contribution of loose deposits to potential landslides over Wenchuan earthquake zone,China[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(2):750-762.
[14]成晓倩，马超，康建荣，等.联合DInSAR和PIM技术的沉陷特征模拟和时序分析[J].中国矿业大学学报，2018,47(5):1141-1148.Cheng Xiaoqian,Ma Chao,Kang Jianrong,et al.Simulation and time series analysis of mining subsidence by integrating DInSARand PIM technology[J].Journal of China University of Mining and Technology,2018,47(5):1141-1148.
[15]洪顺英.基于多视线向DInSAR技术的三维同震形变场解算方法研究及应用[D].北京：中国地震局地质研究所，2010.Hong Shunying.The Resolving Methods for the 3D Coseismic Deformation Field Based on the Multi-LOS DIn SAR Technology and Applications[D].Beijing:Institute of Geology,China Earthquake Administration,2010.
[16]祝传广，邓喀中，张继贤，等.基于多源SAR影像矿区三维形变场的监测[J].煤炭学报，2014,39(4):673-678.Zhu Chuanguang,Deng Kazhong,Zhang Jixian,et al.Three-dimensional deformation field detection based on multi-source SAR imagery in mining area[J].Journal of China Coal Society,2014,39(4):673-678.
[17]刘茜茜.基于多源星载SAR数据的矿区地面沉降监测研究[D].徐州：中国矿业大学，2018.Liu Qianqian.Study on Ground Subsidence Monitoring in Mining Area Based on Based on Multi Spaceborne SAR Images[D].Xuzhou:China University of Mining and Technology,2018.
[18]祝传广.融合多源SAR影像的形变监测研究[D].徐州：中国矿业大学，2015.Zhu Chuanguang.Study on the Deformation Monitoring Based on Integrating of Multi-source SAR Images[D].Xuzhou:China University of Mining and Technology,2015.
[19]Jung H S,Lu Z,Won J S,et al.Mapping three-dimensional surface deformation by combining multiple-aperture interferometry and conventional interferometry:application to the June 2007 eruption of Kilauea Volcano,Hawaii[J].IEEE Geoscience and Remote Sensing Letters,2011,8(1):34-38.
[20]Hu J,Li Z W,Li J,et al.3-D movement mapping of the alpine glacier in Qinghai-Tibetan Plateau by integrating D-InSAR,MAI and offset-tracking:case study of the Dongkemadi Glacier[J].Global and Planetary Change,2014,118:62-68.
[21]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.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.
[22]高晓雄，李达，高明章.基于DInSAR技术的矿区地表三维形变监测[J].煤炭技术，2016,35(7):100-102.Gao Xiaoxiong,Li Da,Gao Mingzhang.Three-dimensional surface deformation detection of mining area based on DInSAR technology[J].Coal Technology,2016,35(7):100-102.
[23]范洪冬，高晓雄，邓喀中，等.基于多轨道SAR的老采空区地表三维形变监测[J].采矿与安全工程学报，2017,34(6):1156-1161.Fan Hongdong,Gao Xiaoxiong,Deng Kazhong,et al.Detection of the three-dimensional surface deformation above the abandoned goaf based on SAR[J].Journal of Mining&Safety Engineering,2017,34(6):1156-1161.
[24]郑美楠，刘沂轩，邓喀中，等.基于DInSAR与概率积分法的铁路变形监测与预测[J].测绘通报，2017(1):106-111.Zheng Meinan,Liu Yixuan,Deng Kazhong,et al.Monitoring and prediction of railway deformation based on DInSAR and probability integral method[J].Bulletin of Surveying and Mapping,2017(1):106-111.
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