Dynamic deformation retrieval for DInSAR data

This study presents a dynamic deformation retrieval method for differential synthetic aperture radar interferometry (DInSAR) processing. Detailed nonlinear displacement parameters are modeled and estimated for capturing the developing trends of ground movement both in time and space. In order to reduce the system disturbance errors such as atmospheres and platform deviations, the singular value decomposition technique is applied. 13 ascending ALOS PALSAR images from 2008/07/05 to 2010/08/26 are collected for the algorithm experiment. The studied area locates in Tianjin China and detailed deformation evaluation patterns have been obtained. The experimental results are validated via leveling data and prove the effectiveness of the algorithm.