基于ASTER数据的金川铜镍矿床外围遥感找矿预测  

Remote sensing prospecting prediction in periphery of the Jinchuan copper- nickel deposit based on ASTER data

作　　者：成功[1] 朱佳玮[1] 毛先成[1] 

机构地区：[1]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

出　　处：《国土资源遥感》2016年第1期15-21,共7页Remote Sensing for Land & Resources

基　　金：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);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

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。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 Arc GIS 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.

关 键 词：ASTER 岩性指数(LI) 主成分分析 岩矿信息提取 找矿预测 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] P627[自动化与计算机技术—控制科学与工程]