Inshore ship detection based on multi-aspect information in high-resolution SAR images

Abstract

A novel algorithm for inshore ship detection based on multi-aspect information in high-resolution Synthetic Aperture Radar (SAR) images is proposed. Based on the internal and external characteristics of inshore ship and harbor regions, multi-aspect information, including coastline information, context information, scattering mechanism, shape contour and deep feature information, are considered respectively to detect inshore ship targets. The algorithm is verified to be robust and efficient to exact the Region-of-Interest (ROI) of inshore ship, and achieve a good performance with detection rate 94.24%. Experiments demonstrate good performance with detection rate 94.24%. The results show that the method is simple and robust, which can effectively determine the Region-of-Interest (ROI) of inshore ship.