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多光谱遥感蚀变信息提取的新方法应用研究
引用本文:相爱芹,朱谷昌,杨自安,邹林,张建国.多光谱遥感蚀变信息提取的新方法应用研究[J].矿产与地质,2006,20(6):656-658.
作者姓名:相爱芹  朱谷昌  杨自安  邹林  张建国
作者单位:1. 中南大学地学与环境工程学院,湖南,长沙,410083
2. 有色金属矿产地质调查中心,北京,100012
基金项目:中国地质调查局地质调查项目
摘    要:选择青海太子沟矿区及其外围地区作为研究区,引入支持向量机(SVM)新技术方法,依据U SG S标准光谱曲线来构造特征矩阵,采用LOO(L eave-O ne-O u t)算法来选择核函数及其参数,通过选取一个包括矿化区和非矿化区的训练数据集,直接从ETM多光谱遥感数据中提取出与矿化有关的遥感蚀变信息。经过野外检查验证,本次研究成果取得了良好的实际应用效果。

关 键 词:多光谱遥感  蚀变信息提取  支持向量机  ETM数据  LOO算法
文章编号:1001-5663(2006)06-0656-03
收稿时间:2006-08-18
修稿时间:2006年8月18日

Application of new multi-spectrum remote sensing alteration information extraction method
XIANG Ai-qing,ZHU Gu-chang,YANG Zi-an,ZHOU Lin,ZHANG Jian-guo.Application of new multi-spectrum remote sensing alteration information extraction method[J].Mineral Resources and Geology,2006,20(6):656-658.
Authors:XIANG Ai-qing  ZHU Gu-chang  YANG Zi-an  ZHOU Lin  ZHANG Jian-guo
Institution:1. Geological and Environment Engineering College of Center South University,Changsha, Hunan 410083, China;2. China Nonferrous Metal Geological Survey Center,Beijing 100012 ,China
Abstract:Taizigou mine and its surrounding areas were selected as the research areas and a new supporting vector method(SVM) was introduced to configure matrix of structure character according to USGS standard spectrum and core function and its parameters were chosen by application of LOO(Leave-One-Out) arithmetic.The remote sensing alteration information associated with mineralization was extracted straight from ETM multi-spectrum remote sensing data by choosing a training data set including that of mineralization area and barren area.The research has received good result through field confirmation.
Keywords:multi-spectrum remote sensing  alteration information extraction  supporting vector machine(SVM)  ETM data  LOO arithmetic
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