Background Context-Aware-Based SAR Image Saliency Detection

Abstract

Saliency, the distinctive parts of an image, has shown good potential for many applications (e.g., image interpretation and target detection). In this letter, a novel saliency detection method based on background context-aware is proposed for synthetic aperture radar (SAR) images. According to a statistical analysis of SAR image characteristics, several reference background patches (RBPs) are selected. Then, the dissimilarities between the current patch and the RBPs are used to calculate the local saliency, which is further enhanced for the final saliency under the multiscale framework. Experimental results demonstrate the effectiveness of the proposed method, which outperforms some state-of-the-art methods.