A fast order method on OS-CFAR detector in SAR images

Xiang Sun*, Ran Tao, Xia Bai

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

12 引用 (Scopus)

摘要

Radar fast threshold constant false alarm rate (CFAR) detector, which keeps CFAR by estimating background and adjusting adaptive threshold, is widely used for detecting targets in synthetic aperture radar images. Two typical CFAR detectors based on sliding windows, the cell-averaged CFAR (CA-CFAR) detector and the order-statistics CFAR (OSCFAR) detector are compared in this paper firstly. The results show the OS-CFAR detector has a better performance at high resolution, but it suffers from the computation burden. This paper proposes a fast algorithm to reduce the computational intensiveness of the OS-CFAR detector and the corresponding analysis of computational savings are given. According to the experimental results of real SAR data, the experiment result is in good agreement with the theory.

源语言英语
主期刊名APSAR 2009 - 2009 Asia-Pacific Conference on Synthetic Aperture Radar, Proceedings
725-728
页数4
DOI
出版状态已出版 - 2009
活动2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009 - Xian, 中国
期限: 26 10月 200930 10月 2009

出版系列

姓名APSAR 2009 - 2009 Asia-Pacific Conference on Synthetic Aperture Radar, Proceedings

会议

会议2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009
国家/地区中国
Xian
时期26/10/0930/10/09

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