SYSTEM AND METHOD FOR DENOISING SYNTHETIC APERTURE RADAR (SAR) IMAGES VIA SPARSE AND LOW-RANK (SLR) DECOMPOSITION AND USING SAR IMAGES TO IMAGE A COMPLEX SCENE

Described is a system for synthetic aperture radar (SAR) imaging. The system is adapted to reconstruct a set of images to generate a set of reconstructed SAR images, wherein at least some of the reconstructed SIR images have noise and contain glint. The reconstructed SAR images are then stacked into a matrix D, in which each column of the matrix is a reconstructed SAR image. Using sparse and low-rank decomposition on the matrix D, the system then extracts a clean background from the reconstructed SAR images and separates the noise and glint. Based on that, the system is operable to detect moving targets in sparse part S and issuing a notification of such a moving target.