Data Processing Theory And Applied Technology Of Surface Subsidence Monitoring Based On DInSAR

The phenomenon of mine subsidence is common in China. The surface subsidence mornitoring is more important nowadays. The traditional mornitoring methods have some disadvantages. For example, the scope of mornitoring is smaller and the efficiency is lower. So it can't meet the need of production and research. DInSAR technology has some advantages, such as the all weather,24 hours, high spatial resolation and continuous spatial cover. DInSAR is the latest technology for monitoring the ground deformation in mining areas. This thesis is aimed to solve some problems due to mining in subsidence areas using DInSAR technology. With DInSAR technique, comparing the performance of different wavelength of radar single, such as C band, L band and X band. The impact of decorrelation and phase discontinuity can be minimized using SAR satellites with longer wavelength, greater incident angle and finer ground imaging resolution. Based on PSI techmology, the small stack SAR differential interferograms used to accumulate the mine subsidence is researched. The method can minimize the atmospheric disturbances and the temporal decorrelation. Two approaches (3D and 2D+1D) based on the least square method were used to solve the 3D surface deformation vectors. It can be known that the accuracy of simulation results of approach 2 is better than the accuracy of deformation of approach 1. The calculate model between DInSAR results and advanced influence angle is established. Due to the revisit period, the characteristic point of dynamic mine subsidence may not measure. The observation time model of DInSAR and GPS combining mornitoring is established. The two models can improve the data precision and have the realistic meaning.