| 西藏多龙矿集区遥感异常提取与成矿预测 |
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| 引用本文： | 别小娟,张廷斌,孙传敏,易桂花,郭娜,徐志忠.西藏多龙矿集区遥感异常提取与成矿预测[J].桂林工学院学报,2013(2):252-258. |
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| 作者姓名： | 别小娟 张廷斌 孙传敏 易桂花 郭娜 徐志忠 |
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| 作者单位： | [1]成都理工大学旅游与城乡规划学院,成都610059 [2]成都理工大学地球科学学院,成都610059 [3]成都理工大学管理科学学院,成都610059 [4]西藏地勘局第五地质大队,青海格尔木816000 |
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| 基金项目： | 国家自然科学基金项目（41202233）; 中国地质调查局项目（1212010813025）; 成都理工大学青年科学基金项目（2010QJ19） |
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| 摘 要： | 以西藏多龙斑岩型铜矿区为例,根据已知矿床,分别利用比值法和主成分分析法对ETM＋和ASTER数据提取铁染与羟基异常信息,分析研究已知矿体遥感异常特征;通过波谱特征拟合的方法,对研究区进行波谱分类。利用两方面的成果来对多龙矿集区作成矿预测,划定远景成矿区,其中一级预测区6个,二级预测区12个。多种异常对比组合,能够发现更好的指示成矿线索的信息。
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| 关 键 词： | 遥感异常 波谱特征拟合 成矿预测 多龙矿集区 西藏 |
Extraction of Remote Sensing Anomaly and Metallogenic Prediction in Duolong Ore-Concentrated Area of Tibet |
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| BIE Xiao-juana,ZHANG Ting-binb,SUN Chuan-minb,YI Gui-huac,GUO Nac,XU Zhi-zhong.Extraction of Remote Sensing Anomaly and Metallogenic Prediction in Duolong Ore-Concentrated Area of Tibet[J].Journal of Guilin University of Technology,2013(2):252-258. |
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| Authors: | BIE Xiao-juana ZHANG Ting-binb SUN Chuan-minb YI Gui-huac GUO Nac XU Zhi-zhong |
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| Affiliation: | 1 a.College of Tourism and Urban-Rural Planning;b.College of Earth Sciences;c.College of Management Science,Chengdu University of Technology,Chengdu 610059,China;2.No.5 Geological Party of Tibet Bureau of Geology and Mineral Resources,Geermu 816000,China) |
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| Abstract: | The information of mineralization and alteration can be extracted from the data of ETM ＋ and ASTER,studied by many researchers.In order to get the effective information of the porphyry copper deposit in Duolong,ratio method and principal component analysis are used to extract the abnormal information from the data of ETM ＋ and ASTER.In this way,abnormal features of a known orebody are well studied.Spectral classification of target area is researched by the method of spectral characteristics fitting.Based on both studies,metallogenic prediction of ore-concentrated area in Duolong is made,and the vision of metallogenic province is well delimited.All enriches remote sensing anomaly on the orebody. |
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| Keywords: | remote sensing anomaly spectral feature fitting metallogenic prediction Duolong ore-concentrated area Tibet |
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