Interferometric phase iterative unwrapping method based on two-dimensional Gaussian model

The invention provides an interferometric phase iterative unwrapping method based on a two-dimensional Gaussian model, which is applied to mining area large-gradient deformation InSAR monitoring, and comprises the following steps: step 1, collecting SAR images for data preprocessing, obtaining single-view complex SLC images, obtaining a wrapped interferogram by forming an interference combination, and obtaining a wrapped interferogram; calculating an interferogram phase; step 2, carrying out adaptive quadtree downsampling processing on an interferogram phase, and calculating a mining area edge unwrapping phase by adopting a traditional phase unwrapping method; step 3, establishing a two-dimensional Gaussian function model of a mining area edge unwrapping phase, calculating model parameters and performing inversion on the model parameters; 4, obtaining a wound residual interference phase by estimating the deformation phase of the whole basin of the mining area, and unwrapping the residual interference phase; s