Compressed Sensing for SAR Image Reconstruction

Synthetic Aperture Radar (SAR) is a common radar imaging technique in a wide range of applications. The SAR imaging relies on keeping eye on targets and imaging from various angles by synchronizing the movement of antenna with the target of interest. The large size of SAR images compared with storage hardware limitations or connection capacity limitations introduced a need of using compression techniques. The primary propose of this paper is to introduce an effective compression technique that can achieve high compression rates, while retaining critical information without damage or loss. Compressed Sensing (CS) represents a reliable, highly dependable and effective choice. This paper introduces a CS technique for SAR image reconstruction. The proposed technique addresses the issue of storing or transmitting large-size SAR images over restricted links, while preventing quality degradation produced by processing. Both Visual and numerical results indicate the success and reliability of the presented technique.