A Nonlocal Noise Reduction Method Based on Fringe Frequency Compensation for SAR Interferogram

Abstract

Phase noise reduction is one of the key steps for InSAR data processing. In this paper, a novel phase filtering method is proposed. The main innovation and contribution of this research is to, (1) incorporate local fringe frequency (LFF) compensation technique into the non-local phase filtering method to include more independent and identically distributed (i.i.d.) samples for filtering; (2) modify the non-local phase filter from three aspects: 1) executing non-local filtering in the complex domain of the residual phase to avoid gray jumps in phase, 2) adaptively calculating the smoothing parameter based on the LFF and the coherence coefficient, and 3) using the integral image in similarity calculation to improve the efficiency; (3) perform Goldstein filter in high coherence areas to reduce the computation expense. Experiments based on both simulated and real data have shown that the proposed method has achieved a better performance in terms of both noise reduction and edge preservation than some existing phase filtering methods.