A Novel PS Selection and Registration Algorithm Based on Generalization Area for GNSS-Based InBSAR

Traditional permanent scatterer (PS) selection and registration algorithms suffer from significant errors in global navigation satellite system-based bistatic synthetic aperture radar (GNSS-based InBSAR) due to poor resolution, low SNR, accumulated baseline, and low position accuracy. In this article, a novel PS selection and registration algorithm based on generalization areas is proposed. First, the generalization area is introduced to adaptively handle the difference in resolution of multisatellite in a scene. Then, the PS preselection (pre-PS) association sequence is obtained according to the superposition of the generalization area, which replaces the traditional image registration algorithm. Finally, the final PS and interferometric phas are obtained according to the coherence and amplitude dispersion. The effectiveness of the proposed algorithm was demonstrated using raw data from eight navigation satellites monitored over a period of 32 consecutive days. The results showed an average accuracy of approximately 11.5 mm during 32 days.