%0 Journal Article
%T A Mobile Target''s Detection and Analysis Method from SAR Image<br>一种SAR图像机动目标检测与分析方法
%A GAO Gui
%A JI Ke-feng
%A KUANG Gang-yao
%A Gao Sheng
%A GAO Gui
%A JI Ke-feng
%A KUANG Gang-yao
%A Gao Sheng
%A GAO Gui
%A JI Ke-feng
%A KUANG Gang-yao
%A Gao Sheng
%A GAO Gui
%A JI Ke-feng
%A KUANG Gang-yao
%A Gao Sheng
%A <br>高贵
%A 计科峰
%A 匡纲要
%A 高升
%J 中国图象图形学报
%D 2005
%I 
%X The Mobile target's detection and analysis from SAR(synthetic aperture radar) image is a key step of SAR ATR(automatic target recognition).An approach of the mobile target's detection and analysis from SAR image is proposed in this paper.After pre-processing of SAR image,Constant false alarm ratio(CFAR) algorithm based on the hypothesis that the intensity distribution of the clutter is exponential and morphological operation are applied to original SAR scene to get region-of-interest(ROIs),the CFAR detector is a rapid algorithm for detecting targets in clutter and the morphological operation can eliminate false alarms.Then the feature vector consist of 8 features for each target area is extracted to describe target in detail.Features are length,width,area,the position of centroid,azimuth,fractal dimension,rotational inertia and Mean bright.The experimental results show that this algorithm is fast in computing speed,and can get lots of useful information from target areas.Moreover,this algorithm has definite currency.
%K synthetic aperture radar(SAR)
%K image
%K feature extraction
%K CFAR detection
%K morphological operation<br>合成孔径雷达
%K 图像
%K 特征提取
%K 恒虚警率检测
%K 形态学运算
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=290FAED2A4707669&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=59906B3B2830C2C5&sid=388804B5826A17DB&eid=8424755CAF377B4D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=9