%0 Journal Article
%T Fuzzy Uncorrelated Discriminant Transformation and Its Application<br>模糊非相关判别转换及其应用
%A WU Xiao-hong
%A WU Bin
%A ZHOU Jian-jiang
%A <br>武小红
%A 武斌 周建江
%J 中国图象图形学报
%D 2009
%I 
%X Linear discriminant analysis is a way of feature extraction and dimension reduction. It is widely applied in face recognition, speech recognition, and handwriting recognition etc. However, many linear discriminant analyses are "hard" ones and every data point belongs to one class or another class strictly. In this paper, a fuzzy uncorrelated discriminant transformation (FUDT) is proposed based on uncorrelated discriminant transformation (UDT). FUDT is a supervised learning method with fuzzy set and its discriminant vectors satisfy the equation of generalized rayleigh quotient. Furthermore, the projection of samples to fuzzy uncorrelated optimal discriminant vectors is uncorrelated by FUDT. The experimental results show that FUDT is better than UDT in extracting the feature of SAR images which come from MSTAR.
%K linear discriminant analysis
%K uncorrelated discriminant transformation
%K fuzzy uncorrelated discriminant transformation<br>线性判别分析
%K 非相关判别转换
%K 模糊非相关判别转换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=52200C27DFD4352C9C7CEEFBE166FD6A&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=9CF7A0430CBB2DFD&sid=C04B8FC2EE0A3178&eid=F44FBAC0FA4347E5&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=19