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一种新的高分辨率SAR图像目标自动鉴别方法
引用本文:李禹,王世晞,计科峰,粟毅.一种新的高分辨率SAR图像目标自动鉴别方法[J].国防科技大学学报,2007,29(3):81-84.
作者姓名:李禹  王世晞  计科峰  粟毅
作者单位:国防科技大学电子科学与工程学院,湖南,长沙,410073
摘    要:目标鉴别是SAR图像目标识别系统的关键环节,用以消除预筛选阶段因异常检测产生的大量虚假的感兴趣区域切片。针对目标鉴别问题,提出了一种新的目标自动鉴别方法,首先对CFAR检测的结果做基于面积特征的预鉴别处理,而后对获得的ROI目标切片提取鉴别特征,并在特征分析的基础上设定特征判决阈值,实现序贯鉴别处理。利用X波段SAR图像数据检验了上述方法,给出了鉴别输出的ROI切片。

关 键 词:SAR图像  ROI  目标检测  序贯鉴别  聚类
文章编号:1001-2486(2007)03-0081-04
收稿时间:2006/10/11 0:00:00
修稿时间:2006年10月11

A New Method of Automatic Target Discrimination in High-resolution SAR Image
LI Yu,WANG Shixi,JI Kefeng and Su Yi.A New Method of Automatic Target Discrimination in High-resolution SAR Image[J].Journal of National University of Defense Technology,2007,29(3):81-84.
Authors:LI Yu  WANG Shixi  JI Kefeng and Su Yi
Institution:College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China
Abstract:Target discrimination is a key step of SAR-ATR,which can remove many false ROI chips obtained by prescreening adopting anomaly detection.A new method of automatic target discrimination was proposed in this paper.Firstly,the results of CFAR detection were discriminated using the area of target,and ROI chips are exported.The features were extracted from the ROI chips,and then the ordered discrimination was realized by comparing the features with the thresholds based on the features.The real X band SAR image data was used to test the discrimination algorithm above mentioned,and finally the discriminated ROIs were presented.
Keywords:SAR imagery  ROI(region of interest)  target detection  sequential discrimination  clustering
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