Saliency detection based on distance between patches in polarimetric SAR images

In this paper, we propose a saliency detection model for polarimetric SAR images based on inter-patch distances. The model is biology-based as it takes the human visual properties into account. Our model consists of local and global saliency detection, which obtained by multi-scale information extraction. What's more, inspired by the distance measures of different image patches, the model takes full use of the coherency matrix which includes the statistical information of pixels and precisely measures the similarity between patches. The experimental results demonstrate the effectiveness of our method.