%0 Journal Article
%T Estimating impervious surface base on comparison of spectral mixture analysis and support vector machine methods<br>利用混合光谱分解与SVM估算不透水面覆盖率
%A CHENG Xi
%A SHEN Zhanfeng
%A LUO Jianceng
%A ZHU Changming
%A ZHOU Yanan
%A HU Xiaodong
%A <br>程熙
%A 沈占锋
%A 骆剑承
%A 朱长明
%A 周亚男
%A 胡晓东
%J 遥感学报
%D 2011
%I 
%X Impervious surface percentage(ISP) is the key parameter for urban regional environment research.This paper compares the ISP estimate-performance of spectral mixture analysis(SMA) and support vector machine(SVM) on TM image.The SVM model establish the non-linear relationship between spectral feature of TM pixels and corresponding ground sample ISP values and then be implied on without-sample TM pixels for ISP estimation.On the TM image of Tianjin urban area,we first select high resolution image from Quickbir...
%K impervious surface
%K impervious surface percentage
%K spectral mixture analysis
%K support vector machine
%K estimation<br>不透水面
%K 不透水面覆盖率
%K 混合光谱分解
%K 支持向量机
%K 估算
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=2184C8E6FDB54335644442DFF7FA3048&yid=9377ED8094509821&vid=23CCDDCD68FFCC2F&iid=B31275AF3241DB2D&sid=A31F2945A5873795&eid=8C8B0901DFA6ECA2&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=20