基于多源遥感数据的矿物蚀变信息提取--以西藏甲玛铜多金属矿为例

摘要

This paper extracted the altered minerals in Jiama copper polymetallic deposit by two methods:bands algebraic operation and principal component analysis with ETM +( TM ) data and Aster data and got the distribution map of altered minerals by fusing alteration information. ETM+( TM) data is suitable to recognize hydroxyl group, iron and carbonate and can offer basic remote sensing technology. Aster data can extract more minerals, such as dolomite, limonite, chlorite, muscovite and kaolinite. By comparing with the geological data and actual exploration results, the extraction results of mineral alteration are effective and reliable.%以甲玛矿区的ETM＋（ TM）数据和Aster数据为数据源，采用波段代数运算法和主成分分析法提取两种数据中的蚀变矿物信息，然后将蚀变信息结果融合得到研究区矿物蚀变分布图。 ETM＋（ TM）数据适合提取羟基、铁染、碳酸盐等基团（离子）信息，为遥感找矿提供基础的技术支撑。 Aster数据可以识别出更细化的蚀变矿物，如方解石、褐铁矿、绿泥石、白云母和高岭石等。通过与研究区地质资料及前人勘探结果比对分析，遥感矿物蚀变信息结果有效、可靠。