Unsupervised saliency-guided SAR image change detection

作者：

Highlights：

• Saliency is used to guide the change detection of SAR images.

• A framework from localization to recognition is proposed.

• Experimental results show the well performance of SGK.

摘要

Highlights•Saliency is used to guide the change detection of SAR images.•A framework from localization to recognition is proposed.•Experimental results show the well performance of SGK.

论文关键词：Unsupervised change detection,Saliency map,Principal component analysis,K-means clustering,Synthetic aperture radar (SAR) images

论文评审过程：Received 16 December 2015, Revised 31 May 2016, Accepted 26 July 2016, Available online 4 August 2016, Version of Record 16 August 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.040