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

科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名ICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
2218-2221
页数4
DOI
出版状态已出版 - 2010
活动2010 IEEE 10th International Conference on Signal Processing, ICSP2010 - Beijing, 中国
期限: 24 10月 201028 10月 2010

出版系列

姓名International Conference on Signal Processing Proceedings, ICSP

会议

会议2010 IEEE 10th International Conference on Signal Processing, ICSP2010
国家/地区中国
Beijing
时期24/10/1028/10/10

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