An Adaptive Spatial Filtering Algorithm Based On Nonlocal Mean Filtering For GNSS-based InSAR

Abstract

3D deformation retrieval can be achieved through joint using different navigation satellites as the transmitters in Global navigation satellite system(GNSS)-based InSAR systems. However, multi-source errors will seriously reduce the deformation retrieval accuracy. In this paper, an adaptive spatial filtering algorithm based on nonlocal mean filtering is proposed for GNSS-based InSAR system. First, the search area is introduced to describe the areas where deformations interact with each other based on the persistent scatter point. Then, the 3D deformation retrieval accuracy is improved based on the nonlocal mean filtering for the selected Permanent Scatterers. The raw data from eight Beidou satellites are used to prove the effectiveness of the proposed algorithm.