%0 Journal Article
%T SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE USING B P NEURAL NETWORK<br>用B—P神经网络实现多波段遥感图像的监督分类
%A LI Zuo
%A Yong
%A <br>李祚泳
%J 红外与毫米波学报
%D 1998
%I Science Press
%X A method of supervised classification of multispectral remote sensing image was suggested using B P neural network. An example of supervised classification of 4 spectral remote sensing images for 4 crops was described by this method. The results show that even if the feature extractions are fewer than the traditional classification, the classification of multispectral remote sensing image tallys with the cases.
%K multispectral
%K remote sensing image
%K supervised classification of image
%K neural network
%K B
%K P algorithm<br>多波段
%K 遥感图像
%K 图像监督分类
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=83E623FAE63BAC97&yid=8CAA3A429E3EA654&vid=BCA2697F357F2001&iid=0B39A22176CE99FB&sid=D59111839E7C8BDF&eid=3F0AF5EDBC960DB0&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=18&reference_num=5