%0 Journal Article
%T A Fast Target Detection Algorithm for High Resolution SAR Imagery<br>一种高分辨率SAR图像快速目标检测算法
%A ZHANG Cui
%A ZOU Tao
%A WANG Zheng-zhi
%A <br>邹涛
%A 王正志
%J 遥感学报
%D 2005
%I 
%X Target detection is the first stage of automatic target recognition(ATR). A rapid Constant False Alarm Rate (CFAR) detection algorithm is proposed in this paper. This detection algorithm is based on Rayleigh clutter distribution assumption and is composed of two stages: a horizontal CFAR and a vertical CFAR. The superposition of the reference windows of adjacent pixels is used to speed up the estimation of clutter mean, and the characteristic of clutter distribution is used to speed up the estimation of clutter variance. The standard variance characteristic of target data is used to reduce false alarm rate. A weighted counter filter is used to eliminate the sparse bright pixels, and the connected regions whose area is within a certain bound are detected as region of interest. Experiment using the MSTAR pubic data set shows the power of this approach in SAR target detection.
%K SAR imagery
%K automatic target recognition
%K target detection
%K CFAR detection
%K local variance<br>SAR图像
%K 自动目标识别
%K 目标检测
%K CFAR检测
%K 局部方差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=897890EB07E9AD29&yid=2DD7160C83D0ACED&vid=9CF7A0430CBB2DFD&iid=CA4FD0336C81A37A&sid=94E7F66E6C42FA23&eid=2A3781E88AB1776F&journal_id=1007-4619&journal_name=遥感学报&referenced_num=3&reference_num=5