%0 Journal Article
%T INFRARED TARGET EXTRACTION ALGORITHM BY USING PARTICLE SWARM OPTIMIZATION PARTICLE FILTER<br>采用粒子群优化粒子滤波的红外目标提取算法
%A ZHOU Yue
%A MAO Xiao-Nan
%A <br>周越
%A 毛晓楠
%J 红外与毫米波学报
%D 2010
%I Science Press
%X A novel infrared target extraction algorithm based on particle swarm optimization particle filter(PSOPF) was proposed.The problem of infrared target extraction was analyzed and solved in the view of state estimation.In the framework of particle filter,the threshold state space on the gray-variance weighted information entropy and the gray value of each pixel was established.Particle swarm optimization was introduced to construct the state transition model.The observation model based on extraction results ev...
%K particle filter
%K particle swarm optimization
%K target extraction
%K gray-variance weighted information entropy<br>粒子滤波
%K 粒子群优化
%K 目标提取
%K 灰度—方差加权信息熵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=1AE42D91ABD9DD79D9B8DF610706FD62&yid=140ECF96957D60B2&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=E84BBBDDD74F497C&eid=68D88C2FCF9C3098&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=0