A mover detection method based on 2-D fuzzy entropy in SAR images

摘要：

In this paper, a new technique for the moving targets detection combining incoherent and coherent information of the Synthetic Aperture Radar (SAR) images is proposed based on the measure of a two-dimensional (2-D) fuzzy entropy principle. Firstly, it extracts incoherent and coherent information from images in pixel and builds a 2-D histogram. Secondly, according to 2-D fuzzy function, image pixels are fuzzy classified into two groups: changed and unchanged then 2-D fuzzy entropy is calculated. Finally, Differential Evolution (DE) algorithm is used to maximize the entropy and the optimal parameters of the fuzzy function are obtained, which procures effective moving target detection results.

关键词： SAR image change detecion moving target detection 2-D fuzzy entropy Differential Evolution algorithm

作者: Gao Fei Zhou Rui Sun Jinping Yu Zhenming

作者单位: School of E.I.E, Beihang University, Beijing, 100191, China Dept of C&E.E, Wuzhou University, Wuzhou, 543002, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2218-2221

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）