面向地表形变高精度监测的GNSS-InSAR融合方法  

GNSS-INSAR Fusion Method for High Precision Monitoring of Surface Deformation

作　　者：柯福阳 胡祥祥 明璐璐 刘学武 尹继鑫 刘宇航 KE Fuyang;HU Xiangxiang;MING Lulu;LIU Xuewu;YIN Jixin;LIU Yuhang(School of Remote Sensing and Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing 210440,China;Xining Surveying and Mapping Institute,Xining 810000,China)

机构地区：[1]南京信息工程大学遥感与测绘工程学院,江苏南京210440 [2]西宁市测绘院,青海西宁810000

出　　处：《遥感技术与应用》2023年第5期1028-1041,共14页Remote Sensing Technology and Application

基　　金：2022年度第六期“333人才”培养支持资助项目(BRA2022042),江苏省“六大人才高峰”高层次人才项目(XYDDX‐045),西宁市科技计划项目(2019‐Y‐12)。

摘　　要：GNSS-InSAR数据融合进行监测地表形变是目前地表形变监测领域研究的热点问题,传统GNSS-InSAR数据融合方法融合简单、不能动态地反映地表形变特点,导致数据使用不充分、形变特征精度低等后果。提出了一种新的基于InSAR校正值和卡尔曼滤波的GNSS-InSAR融合方法。根据时间序列的GNSS观测值和InSAR校正观测值的时空相关性,通过卡尔曼滤波对两种数据进行融合,得到更精确的地表三维形变结果。利用2018年11月15日至2022年6月3日103景Sentinel-1A数据和同期13个GNSS点位数据进行处理,实验结果表明:校正后的InSAR观测值与GNSS观测值经卡尔曼滤波融合结果比未校正的InSAR观测值与GNSS观测值融合结果精度高45%,比InSAR观测值精度高57%。因此,基于InSAR校正值和卡尔曼滤波的GNSS-InSAR融合模型提高了InSAR变形监测的精度,拓展提升InSAR应用范围的广度和深度。Surface deformation is a geological phenomenon caused by natural or artificial factors,and its disaster-causing process is slow and irreversible.It is also a geological disaster with destructive solid power.Therefore,real-time and high-precision surface deformation monitoring is one of the most critical tasks in maintaining urban safety.However,due to the complex causes,long duration,wide range,and many triggering factors of surface deformation,there are many difficulties in monitoring surface deformation using single technology such as leveling,GNSS,INSAR,and optical remote sensing.Considering the characteristics and complementarities of InSAR and GNSS,the combination of InSAR and BeiDou/GNSS can improve the surface deformation monitoring capability in space and time at the same time.Unluckily,the traditional GNSS-InSAR data fusion method is simple to fuse and cannot dynamically reflect surface deformation characteristics,leading to insufficient data use and low accuracy of deformation features.A new fusion method is proposed based on the Kalman filter algorithm GNSS-InSAR correction values.The method mainly consists of two sequential processes,i.e.,the a priori processing of GNSS and INSAR data and the fusion process of GNSS-InSAR correction values based on the Kalman filter algorithm.The a priori processing of GNSS and INSAR data is to obtain the a priori deformation results using the fitted estimation model to correct the systematic errors in the InSAR observations.The fusion process of GNSS-InSAR correction values based on the Kalman filtering algorithm is to fuse the two data through Kalman filtering based on the spatial and temporal correlation between the time-series GNSS observations and the InSAR correction observations.The experiment was processed using 103 views of sentinel-1A data from November 15,2018,to June 3,2022,and 13 GNSS point data during the same period.The experimental results show that the fusion result of the corrected InSAR observations and GNSS observations by the Kalman filter is 45%mo

关 键 词：GNSS-InSAR融合 拟合推估法 卡尔曼方法 地表三维形变测量 地表形变 

分 类 号：TN911.7[电子电信—通信与信息系统] P237[电子电信—信息与通信工程]