%0 Journal Article
%T Infared Imaging Automatic Target Recognition Algorithm Based on SVM<br>基于支持向量机的红外成像自动目标识别算法
%A FAN Bin
%A FENG Yun-song
%A YANG Li
%A YANG Hua
%A <br>范彬
%A 冯云松
%A 杨丽
%A 杨华
%J 红外
%D 2007
%I 
%X In view of the issue of automatic target recognition met by infrared imaging guided missiles in the war, an automatic target recognition algorithm which uses several 2-D images to recognize 3-D targets is put forward and a Support Vector Machine is used as a classifier. The simulation experiment results have shown that the algorithm can recognize the target at any angle in the 3-D space successfully and can solve the 3-D target recognition problem which is difficult to be solved by many 2-D recognition algorithms. At the same time, compared with the traditional recognition algorithms, this algorithm has a higher target recognition ratio.
%K support vector machine
%K infared imaging
%K automatic target recognition<br>支持向量机
%K 红外成像
%K 自动目标识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=3723000AE493FCE650601982177048B1&aid=B33DE72B197490BC48FDFD927A454227&yid=A732AF04DDA03BB3&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=F3090AE9B60B7ED1&eid=FC0714F8D2EB605D&journal_id=1672-8785&journal_name=红外&referenced_num=0&reference_num=5