Research Of Linear Defomation Model's Network Optimization Method Based On Time-series InSAR

Monitoring ground deformation by time-series InSAR has become one of the main hot spots of the application of remote sensing technology.Aiming at the problems of the lower precision of monitoring ground deformation by time-series InSAR,weak applicability and time-consuming calculating process,this article adopts the maximization algorithm based on linear deformation model in time-series InSAR.Application of relevant principle of DInSAR,this article presents a method by testing in a small area to select the best interferograms automatically.After taking the value interval reasonably of residual phase of the network connection edge,this article put forwards that using the initial model coherence and the percentage of interferograms to optimize the network of linear deformation model.Through multiple sets of contrast test using Radarsat-2 and TerraSAR-X images of Beijing,this article determines the range of the threshold settings of two optimization parameters.Finally,using initial network optimization method of the linear deformation model in this paper,we conduct the linear inversion of surface deformation based on time-series InSAR,and then evaluate accuracy to the result of the deformation by comparing with actual leveling and statistics the time optimization.It is demonstrated that the optimization parameters for linear deformation model this paper puts forward is reasonable and reliable,not only improve the accuracy of the inversion of linear deformation and shorten the calculating time.