HE Ping, XU Caijun, WEN Yangmao, DING Kaihua, WANG Qi. Analysis and Simulation for Time Series InSAR Error Model[J]. Geomatics and Information Science of Wuhan University, 2016, 41(6): 752-758. DOI: 10.13203/j.whugis20140369
Citation: HE Ping, XU Caijun, WEN Yangmao, DING Kaihua, WANG Qi. Analysis and Simulation for Time Series InSAR Error Model[J]. Geomatics and Information Science of Wuhan University, 2016, 41(6): 752-758. DOI: 10.13203/j.whugis20140369

Analysis and Simulation for Time Series InSAR Error Model

  • Based on the function model of TS-InSAR (time series interferometric synthetic aperture radar) technique, this paper establishes stochastic function models (weighted/equal-weight) for single-master and multi-master image TS-InSAR method respectively to enrich the mathematical model of TS-InSAR. A simulation test is used to estimate the precision of model parameters for our equal-weighted function model (stochastic model). Compared to the equal-weight model, the precision of deformation parameters shows little improvement over the weighted model. However, complications in the weighted model means that much disk-space is consumed with low computational efficiency. Most computers therefore cannot undertake TS-InSAR analysis tasks with reasonable hardware configuration. At present, the equal-weight model is feasible for TS-InSAR.
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