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.