Study on the Fusion Method of D-InSAR and Level Monitoring Data
1 School of Environment Science and Spatial Informatics,China University of Mining and Technology,
1 Daxue Road,Xuzhou 221008,China
2 Shandong Provincial Institute of Land Surveying and Mapping,2301 Jingshi Road,Jinan 250102,China
Abstract The precision of D-InSAR techniques for monitoring the planar near the maximum subsidence monitoring is low, and we can only get limited monitoring deformation value by high precision leveling. So we use the ensemble Kalman filter method to assimilate D-InSAR and level monitoring results, in order to achieve the goal of high precision planar surface subsidence deformation monitoring. The results show that the collection based on Kalman filtering assimilation results are greatly improved compared with the inversion values and D-InSAR monitoring results, thereby realizing the high precision surface subsidence monitoring. We apply this method to Zouxian-Jining highway in Jining, where the assimilation value total root mean square error is 17.7 mm, which satisfies the requirement of precise deformation monitoring of a high grade highway.
