PHase property in complex-correlation and real-imaginary-correlation filtered SAR interferograms and its influence on DEM quality

SAR interferogram requires a robust filtering method for generation of appropriate digital elevation model (DEM).We previously proposed a filtering method based on complex-valued Markov random field (CMRF) model. The CMRF filter estimates the pixel values which generate the singular point (SP) and by use of the complex correlation between neighbor pixels. Since a complex number is represented by two real numbers, the complex-correlation learning (i.e., CMRF filter) is similar to the real-imaginary separate double-dimensional correlation learning (RI-MRF filter). In this paper, we compare the bases of their processing dynamics and the filtering accuracy between the CMRF and RI-MRF filters in experiment for ALOS data.