SAR图像目标识别特征提取与选择方法研究进展  

The Advances in Research on the Method of Feature Extraction and Selection for SAR (Synthetic Aperture Radar)-image Target Recognition

作　　者：王寿彪[1] 杨桄[1] 丁文东 张俭峰[1] 

机构地区：[1]空军航空大学特种专业系,长春130022 [2]解放军某部,北京100875

出　　处：《科技情报开发与经济》2011年第26期160-164,共5页Sci-Tech Information Development & Economy

摘　　要：SAR图像自动目标识别在图像情报获取、目标跟踪、战场监视和打击效能评估等方面有着广泛的应用。简要介绍了合成孔径雷达图像解译特点和SAR图像目标自动识别流程,论述了SAR图像目标识别特征提取与选择方法的研究进展,并对目前目标识别特征提取存在的问题进行了分析。SAR-image automatic target recognition （SAR ATR） has extensive application in acquisitioning image intelligence, tracking target,implementing battlefield surveillance, and evaluating attack effectiveness, etc. This paper briefly introduces the characteristics of SAR-image interpretation and SAR ATR process,discusses the advances in research on the method of feature extraction and selection for SAR-image target recognition, and analyzes some problems currently existing in the feature extraction of target recognition.

关 键 词：SAR图像 目标识别 特征提取 

分 类 号：TN953[电子电信—信号与信息处理]