SAR interferometer optimal processing algorithms for the stochastic surface models

This work discusses about the SAR interferometer optimal processing algorithms for the stochastic surface models. One of the main algorithm in the InSAR is the phase algorithm or complex scattering coefficient estimation. Structure of such algorithm depends on surface model used to denote input process in the antennas. In fact, scattered from the real surface signal represents a stochastic process (Gaussian), usually nonstationary in the time domain. Stochastic character are taken in to account while estimating altitude or absolute phase difference in the SAR ( Synthetic Aperture Radar ) interferometer.