High resolution SAR imagery ship detection based on EXS-C-CFAR in Alpha-stable clutters

作者：Xiangwei Xing, Kefeng Ji, Huanxin Zou, Jixiang Sun, Shilin Zhou · 年份：2011 · DOI：10.1109/igarss.2011.6048956 · 被引用次数：17 · 研究领域：Advanced SAR Imaging Techniques、Radar Systems and Signal Processing、Synthetic Aperture Radar (SAR) Applications and Techniques

High resolution SAR imagery captures both the sea background and ship target more explicitly. This paper proposed an algorithm based on EXS-C-CFAR (excision-switching context based CFAR) and Alpha-stable distribution to detect ships in high resolution SAR imagery. From experiment results, it is derived that the Alpha-stable distribution models spiky sea clutter well and the EXS-C-CFAR has good ship detection performance on JPL/NASA AIRSAR data. Moreover, context information utilized in the detector preserves more ship structures.