Experiments of Interferometric Phase Filtering through Weighted Nuclear Norm Minimization

Abstract

Interferometric phase filtering is one of the most important procedure in interferometric synthetic aperture radar (InSAR) signal processing. Traditional interferometric phase filtering methods exhibit poor performance on balancing noise reduction and fringe details preservation, especially in condition of low coherence or complicated topography. Nonlocal methods utilize the structure redundant information to obtain estimation, and achieve satisfied performance in preserving textures. In this paper, a nonlocal method using weighted nuclear norm minimization (WNNM) is applied to interferometric phase filtering. The performance of the proposed method is validated by using simulated and real data. Experimental results show that the proposed method outperforms the traditional methods in terms of both noise discarding and phase preservation.