Saliency target detection in polarimetric SAR images

Abstract

Inspired by nonlocal filtering, this paper proposes a saliency detector based on pattern recurrence. In visual attention and saliency detection framework, people are extracting patches that are not redundant, which would more likely to attracting attention. Hence, target detection or saliency detection in SAR image could also be done using the dissimilarity as an indicator of saliency, meaning that the interesting target or saliency target is different from background around it. Similarity of two pixels can be defined together with their local neighbors, then calculate the cross-correlation of two normalized patches. To analyze results better, a normalized version of cross-correlation is used. Experimental results on SAR image are shown to test the effectiveness of the proposed method. The experimental results compared with CFAR on SAR images also prove the effectiveness in saliency detection on SAR images.