Abstract：Temporal decorrelation and phase delay are two main abstacles for repeat pass differential SAR interferometry (DInSAR) used for surface deformation monitoring. We presented an algorithm for deformation timeseries retrieval and linearrate estimation by use of short baseline differential interferograms stack. The pixel candidates presenting a good coherence level in the whole set of interferograms stack were identified and the resulting nonuniform meshes were tessellated with the Delauney triangulation to establish connections among them. The Minimum Cost Flow(MCF) algorithm was used for phase unwrapping, and the Singular Value Decompostion (SVD) method was applied to link the indenpendent interferograms subset, thus obtained the deformation timeseries of each coherent pixel. The linear deformation rate was calculated from the time series with a least square regression. Presented results achieved on ENVISAT SAR data confirms the validity of the proposed approach for longterm deformation evlution monitoring.
Ge Daqing,Wang Yan,Guo Xiaofang et al. SURFACE DEFORMATION FIELD MONITORING BY USE OFSMALL-BASELINE DIFFERENTIAL INTERFEROGRAMS STACK[J]. jgg, 2008, 28(2): 61-66.
