Distributed compressed sensing for despeckling of SAR images

Speckle noise is one of the critical disturbances that present in the radar imagery. This noise degrades the quality of synthetic aperture radar (SAR) images and needs to be reduced before using SAR images. This paper investigates a novel method for despeckling of SAR images in the distributed compressed sensing (DCS) framework. A linear matrix-based formulation is developed for the received SAR raw data and a compressive measurement and partitioning (CMP) scheme is proposed to collect and partition the SAR data into some data subsets. Then, a DCS-based despeckling method is proposed, in which, all data subsets are jointly considered in image formation and noise reduction. One of the important features of the proposed method is that the image formation and speckle reduction are done jointly. Finally, experimental results are provided to show the effectiveness of the proposed method in comparison to the previous ones.