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国土资源遥感  2016, Vol. 28 Issue (1): 15-21    DOI: 10.6046/gtzyyg.2016.01.03
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
基于ASTER数据的金川铜镍矿床外围遥感找矿预测
成功, 朱佳玮, 毛先成
中南大学地球科学与信息物理学院有色金属成矿预测教育部重点实验室, 长沙 410083
Remote sensing prospecting prediction in periphery of the Jinchuan copper-nickel deposit based on ASTER data
CHENG Gong, ZHU Jiawei, MAO Xiancheng
Key Laboratory of Metallogenic Prediction of Nonferrous Metals Ministry of Education, School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
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摘要 

为了对甘肃省金昌市金川铜镍矿床外围地区进行遥感找矿预测,首先根据ASTER数据不同波段的特性分别提取岩性信息和蚀变信息,对热红外(TIR)波段,在采用波段比值法定量提取二氧化硅含量的基础上,利用波段比值计算的岩性指数(lithological index,LI)定量提取基性-超基性岩信息;对可见光-近红外(VNIR)及短波红外(SWIR)波段,运用主成分分析法定性提取高岭土-绢云母化、绿泥石化和蛇纹石化等矿化蚀变信息;然后在ArcGIS平台上,对所提取的矿化蚀变信息进行量化定级和叠加处理,制作综合矿化蚀变异常信息图(其反映的异常范围和强度与已知矿区十分一致);最后利用综合矿化蚀变异常信息,对金川铜镍矿床外围地区进行找矿预测,共圈定出3个找矿预测区,可为寻找同类型的矿床提供参考。

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关键词 GF-1影像建筑用地指数(RBI)缨帽变换(KT)精度分析    
Abstract

According to the different band characteristics of ASTER data, lithologic and alteration information was extracted respectively. After silica content was extracted quantitatively by the band ratio method from TIR bands,the information of mafic-ultramafic rocks was extracted quantitatively by the band ratio lithologic index(LI) method, and the alteration information such as kaolin-sericite, chlorite and serpentine was extracted qualitatively by principal component analysis method from VNIR and SWIR bands. Then, on the ArcGIS platform, the alteration information extracted was made quantitative grading, and an integrated anomalous information figure was compiled after stacking process. The range and intensity were very consistent with the known mine. Finally, the ore prognosis of the Jinchuan copper-nickel deposit was conducted using the integrated anomalous information, and three prospecting prediction areas were delineated, which can provide a reference in the search for the same type of deposits.

Key wordsGF-1 Image    ratio build-up index (RBI)    KT transformation    accuracy analysis
收稿日期: 2014-09-08      出版日期: 2015-11-27
ZTFLH:  TP79  
  P627  
基金资助:

国家自然科学基金项目"基于重磁电正反演的隐伏矿体三维预测模型修正方法研究"(编号:41472301)和金川集团技术开发项目"金川矿区深边部隐伏矿体立体定量预测"(编号:金科地2012-07)共同资助。

作者简介: 成功(1972-),男,博士研究生,讲师,硕士生导师,主要从事遥感信息提取与地质找矿研究工作。Email:chenggongx@126.com。
引用本文:   
成功, 朱佳玮, 毛先成. 基于ASTER数据的金川铜镍矿床外围遥感找矿预测[J]. 国土资源遥感, 2016, 28(1): 15-21.
CHENG Gong, ZHU Jiawei, MAO Xiancheng. Remote sensing prospecting prediction in periphery of the Jinchuan copper-nickel deposit based on ASTER data. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 15-21.
链接本文:  
http://www.gtzyyg.com/CN/10.6046/gtzyyg.2016.01.03      或      http://www.gtzyyg.com/CN/Y2016/V28/I1/15

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