%0 Journal Article
%T Remote Sensing Statistical Analysis Model and its Extensions<br>遥感影象统计分析及其扩展模型
%A ZHOU Cheng hu
%A LUO Jian cheng
%A <br>周成虎
%A 骆剑承
%J 中国图象图形学报
%D 2001
%I 
%X In this paper, a particular review on traditional remote sensing statistical analysis model is made and their defects are analyzed from several aspects especially brought by the statistical assumption of its unimodal probability density functions and parametrical density distribution model. On the basis of traditonal statistical model, some intelligent ways of extensions are proposed, where the major attentions are paid on integration with geo knowledge processing unit and computation with other artificial intelligence approaches such as fuzzy logic, conventional geo analysis, robust statistics, neural computation, and evolutionary computation. Finally, several detailed approaches of extensions of statistical remote sensing analysis model, such as RBF, GMDD, and knowledge integrated model, are introduced and discussed briefly.
%K Geo
%K analysis
%K Statistical analysis
%K Remotely sensed image
%K Geo
%K knowledge
%K Extending model<br>地学分析
%K 统计分析
%K 遥感影象
%K 地学知识
%K 扩展模型
%K 数理统计
%K GIS
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=F2E8C5B12C19C426&yid=14E7EF987E4155E6&vid=B31275AF3241DB2D&iid=59906B3B2830C2C5&sid=004AE5CF627F0ACA&eid=B7C3373069B7AC9F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=16