Paper Title
DE-Speckling of Risat-1 Data Using Compressive Sensing theory

In this paper, we propose a method for Radar Imaging Satellite (RISAT-1)) image de-speckling with compressive sensing (CS) theory. The compressive sensing theory proved that any image can be reconstructed from samples fewer than number of elements in an image. This technique is tested on single look complex RISAT-1 (MRS and CRS) data set, and experimental results exhibit that our technique is the best in terms of visual quality and de-speckling quality factors.