%0 Journal Article
%T Remote sensing image classification based on formal concept analysis<br>基于形式概念分析的遥感影像分类
%A MAO Dian-hui
%A LI Wen-zheng
%A LIN Wei-hua
%A <br>毛典辉
%A 李文正
%A 林伟华
%J 遥感学报
%D 2010
%I 
%X In order to solve the problems that how to mine and express classification knowledge and rules in current remote sensing image classification, this paper introduces a new data mining theory of formal concept analysis, and realizes the connotation reduction of concept based on the minimum coverage of sets for ensuring the simplicity of classification rules. Meanwhile, the Fang city of Hubei province is selected to carry out the formal concept analysis theory to mine the land-use types classification rules, and construct a heuristic classifier based on the mined classification rules. The result shows that the mined classification rules have higher credibility, and the constructed classifier has higher accuracy compared with supervision classification and C4.5 algorithm, which proves that the theory of formal concept analysis provides a new method to achieve remote sensing image classification.
%K formal concept analysis
%K concept lattice
%K remote sensing image classification<br>形式概念分析
%K 概念格
%K 遥感影像分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=27F499AE7C558EE9E2230BC8C390AFCB&yid=140ECF96957D60B2&vid=F3583C8E78166B9E&iid=CA4FD0336C81A37A&sid=C3BF5C58156BEDF0&eid=4BB057F167CF3A60&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=11