%0 Journal Article
%T An Image Matching Algorithm Based on SNN Kernel Method<br>基于SNN核的景象匹配算法
%A HAO Yan-Ling
%A WANG Zhong
%A <br>郝燕玲
%A 王众
%J 自动化学报
%D 2008
%I 
%X In this paper,an isotropic resolution down-looking scene matching algorithm based on SNN kernel method has been proposed.By simulating the charge attract model,the SNN kernel function is presented to compute similarity of high dimensional data with unequal dimensions.By mapping image character points to radial basis vector(RBV)space, the transition matrix and similarity between two character point sets are constructed by SNN kernel function.Finally,we use a permutation testing module to enforce the stability of SNN kernel to ensure the output reliability.The test results show that the proposed algorithm has high accuracy,high real-time performance,and strong robustness against the image aberrance,noise,and signal concealment.
%K SNN kernel matrix
%K radial basis vector(RBV)
%K SNN kernel function<br>SNN核矩阵
%K 径向基向量
%K SNN核函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=19E446AB9A213E20CDCD8C731BEDCDE9&yid=67289AFF6305E306&vid=339D79302DF62549&iid=59906B3B2830C2C5&sid=8090F7AAC926756F&eid=36534BF3EA0E1826&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=13