Interferogram Phase Noise Suppressing using Nonlinear Partial Differential Equation

The phase noise-suppressing method applied on the interferogram of interferometric synthetic aperture radar (InSAR) is studied. Filtering phase noise in an interferogram is an important aspect in InSAR data processing. But any improper altering of the wrapped phase may influence the quality of derived DEM because the interferometric phase contains the topographic information. Therefore, one of the difficulties in phase noise filtering is how to remove the noise and preserve the spatial resolution effectively. In this paper, an adaptive approach based on nonlinear partial differential equations (PDE) is presented for removing the noise in the interferogram. Finally, this approach is compared with some existing approaches for InSAR noise filtering and the experimental results by processing spaceborne and airborne data are used to confirm that the method is more effective in reducing noise in the interferogram