Singular Unit Restoration Based on Complex-Valued Markov Random Field Model for Insar Interferograms

The complex-valued Markov random field (CMRF) model is a powerful basis in complex-amplitude image processing. In this paper, we propose a method to reduce singular points (SPs) included in interferograms based on the CMRF model by focusing on the local pixel-value correlation. We deal with the SP-forming four pixels as a set, namely the singular unit (SU), in the CMRF-based compensation of data values distorted in electromagnetic-wave propagation with interference. We find that the method reduces the SP number with less processing distortion.