Using SURE Principle for Adaptive Nonlocal Filtering of InSAR Phase Imagery

Abstract

Interferometric phase filtering is a crucial step in the processing of interferometric synthetic aperture radar (InSAR). However, traditional filters fail to strike a balance between the noise reduction and detail preservation. This paper proposed a refined version of nonlocal filter with adaptive filtering parameter selected by the Stein’s unbiased risk estimate (SURE), which can effectively reduce the InSAR phase noise with the fringe patterns and edges preserved. Experiments on both simulated and real data sets are performed to validate the effectiveness of the proposed method.