Research on the Prediction Method of 3D Surface Deformation in Filling Mining Based on InSAR-IPIM

Abstract

Traditional surface monitoring methods can only obtain discrete surface deformation values at individual monitoring points, while InSAR technology can only measure the projection values of three-dimensional surface deformation along the LOS direction. Additionally, when monitoring surface deformation in mining areas, it may encounter issues of low coherence or even loss of coherence. Therefore, this paper proposes a method for predicting three-dimensional surface deformation in filling mining based on InSAR-IPIM. The results show that the proposed method effectively corrects the error caused by the use of empirical parameters to predict the deformation of NC1202. The deviation rates between the optimal parameters and the initial empirical parameters are 23.61%, 34.29%, 16.32%, 0%, 14%, 3.85%, 4%, and 7.4%, respectively. The predicted three-dimensional surface deformation can obtain the complete mining subsidence area results. Compared with the maximum measured leveling data, the absolute error of the maximum vertical deformation field in the three-dimensional deformation is only 1 cm, which is small, making it possible to predict the complete three-dimensional surface deformation of the working face using single track SAR data.