Automatic Image Matting of Synthetic Aperture Radar Target Chips

Abstract

A matting technique to extract the targets from synthetic aperture radar (SAR) images is presented. Binary segmentation is performed initially for rough identification of target boundaries. Trimap is then estimated by combining the boundary structures of the input and segmented images using guided filter. In order to improve the accuracy of estimated trimap, super-pixels based segmentation is performed. A propagation based matting algorithm is then applied to separate the target from non-target region. Simulations conducted on different SAR images from MSTAR database show significance of proposed technique.