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基于高光谱粗糙集分析的矿化信息挖掘
引用本文:詹云军,胡光道,吴艳艳. 基于高光谱粗糙集分析的矿化信息挖掘[J]. 地质科技情报, 2009, 28(3)
作者姓名:詹云军  胡光道  吴艳艳
作者单位:中国地质大学资源学院,武汉,430074;武汉理工大学资源与环境工程学院,武汉,430070;中国地质大学资源学院,武汉,430074;武汉理工大学资源与环境工程学院,武汉,430070
基金项目:国家自然科学基金项目,老挝人民民主共和国高光谱遥感地质国际合作项目,云南个旧锡矿西区多元信息综合找矿预测研究 
摘    要:以野外勘察和光谱测量数据为数据源,以光谱曲线的16个特征和矿化蚀变程度分别为条件属性和决策属性,应用粗糙集理论和方法离散化数据构建决策系统和实现属性约简,获取识别矿化信。息最佳变量组合及区间值,将其作为参量建立矿化信。息识别模型,并以矿区其他数据进行了检验,结果与实地勘查资料基本吻合,表明该方法可以作为高光谱矿化信,息识别模型,为成矿预测提供依据。

关 键 词:矿化信息  高光谱  粗糙集  光谱曲线

Extracting Mineralization Information by Hyperspectral Analysis Based on Rough Set Theory
ZHAN Yun-jun,HU Guang-dao,WU Yan-yan. Extracting Mineralization Information by Hyperspectral Analysis Based on Rough Set Theory[J]. Geological Science and Technology Information, 2009, 28(3)
Authors:ZHAN Yun-jun  HU Guang-dao  WU Yan-yan
Affiliation:1.Faculty of Earth Resources;China University of Geosciences;Wuhan 430074;China;2.School of Resources and Environment Engineering;Wuhan University of Technology;Wuhan 430070;China
Abstract:The wall rock alteration is important for information hydrothermal deposits prospecting,and so the effective extraction of mineralization information has aroused great interests among geologists in remote sensing geology.In this experiment,the data collected from field surveys and spectral measurements were analysed based on rough set theory.The decision table is established for mineralization information identification by taking the 16 spectral characteristics as condition attribute set and taking degree o...
Keywords:mineralization information  hyperspectral  rough set  spectral curve  
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