Simultaneous compressed sensing and single-image super resolution for SAR image reconstruction

One of the most significant radar imaging types is Synthetic Aperture Radar (SAR), which is utilized in numerous fields and applications. Large size of SAR images, limited storage capacity and links with restricted capacity prompted the need to use compression techniques. The compression technique used in this paper is Compressed Sensing (CS) in the form of Multi-scale/multi-Resolution Kronecker Compressed Sensing (MRKCS). Detecting target existence in the received SAR images is a critical and challenging task. Enhancement through Single-IMage Super-Resolution (SIMSR) is a very good choice to enhance the decision making performance through reducing the error and false-alarm rates. The main objective of this work is to use a reliable compression-decompression technique by which high compression rates could be achieved, while retaining the data of interest. This is followed by an effective image enhancement technique in order to increase detectability from the received SAR images.