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A Modified Goldstein Filter for Interferogram Denoising Based on Residue Density

Interferogram denoising is a critical step in the interferometric synthetic aperture radar (InSAR) processing, which aims to filter out the noise as much as possible and simultaneously keep the edges of the interferometric fringes. In this paper, the relationship among the residues, the fringe rate, and the noise level is investigated to divide the pixels into three categories, i.e., scatters in high fringe rate area, low fringe frequency area and region contaminated by very serious noise. Each class of pixels are subsequently filtered by making different modifications to the classical Goldstein filter. The patch size is varying in different classes. Moreover, the density of the residues is introduced into the filtering parameter α. Besides, the smoothing function is also substituted in case of pixels in high fringe rate area. Finally, the proposed algorithm is validated by both the simulated experiment and real data test.