%0 Journal Article
%T An Automatic Location Algorithm for Low SNR Moving Targets Based on Adaptive Template<br>基于自适应模板的低信噪比运动目标的自动定位算法
%A Chai RaoJun
%A Ma CaiWen
%A Tang ZiLi
%A <br>柴饶军
%A 马彩文
%A 唐自力
%J 光子学报
%D 2005
%I 
%X SNR is used to analyze target gray characters to its neighbor pixels. According to these low SNR moving puny targets, an adaptive template matching method has been proposed to extract these targets by part Hausdorff distance in measuring the similarity between the templates and target images. Then combined with adaptive thresholding technique, targets precision pixel dimensions can be calculated in given pictures. Critical experiments results of different target images sequences show that this algorithm is fast,stable and flexible with much reference value in related Automatic Target Recognition and location fields.
%K Low SNR
%K Adaptive template
%K Part hausdorff distance
%K ATR<br>低信噪比
%K 自适应模板
%K 部分Hausdorff距离
%K 自动目标识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=9F6139E34DAA109F9C104697BF49FC39&aid=6BAB9FAAA86A0F40&yid=2DD7160C83D0ACED&vid=339D79302DF62549&iid=9CF7A0430CBB2DFD&sid=E0D5583D4EFFC59B&eid=7B26CB38602C6F44&journal_id=1004-4213&journal_name=光子学报&referenced_num=3&reference_num=17