A Fast Order Method on OS-CFAR Detector In SAR Images

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 (OS-CFAR) 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.

关键词： SAR imagery ATR OS-CFAR CA-CFAR Fast order method

作者: Xiang Sun Ran Tao Xia Bai

作者单位: The Infomation System Laboratory,School of Information and Electronics Beijing Institute of Technology,Beijing,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 725-728

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）