摘要
从遥感影像中准确地提取矿化蚀变信息有着重要的理论和现实意义。本文中,作者利用ETM+多光谱数据,针对新疆西天山地区特殊的高寒山区特点,提出了一种改进的光谱角分类法——定量光谱角分类法来进行矿化蚀变信息提取。通过试验研究表明,该方法能够有效地提取矿化蚀变信息,具有一定的理论参考价值。
Accurate extraction of mineralized alteration from remote sensing image has an important theoretical and realistic significance.In this paper,using ETM＋ multispectral data,the author develops an improved spectral angle mapper——Quantitative Spectral Angle Mapper to extract mineralized alteration in high and cold mountain area of west Tianshan,Xinjiang.The test shows that Quantitative Spectral Angle Mapper can extract effectively mineralized alteration and the method has a certain theoretical reference value.
出处
《遥感信息》
CSCD
2012年第2期77-80,共4页
Remote Sensing Information
基金
高等学校博士学科点专项科研基金项目(编号20090205110004)
关键词
遥感
蚀变
主成分分析
波谱角制图
remote sensing
alteration
principal component analysis
spectral angle mapper
