物化遥数据融合在找矿靶区优选中的应用

Fusion of geophysical, geochemical and remote sensing in mineral targets optimization

文中以内蒙古西部阿拉善右旗努尔盖地区多金属矿集区为例,利用1∶5万航空磁测地球物理数据和土壤地球化学测量数据、Landsat8 OLI多光谱遥感影像数据,分别使用二维经验模态分解法、因子分析法、复合主成分分析法,提取了航磁地球物理异常分量、地球化学综合成矿因子、遥感铁染蚀变,结合人眼对红、绿、蓝三种颜色的敏感程度和所提取的三种信息的重要性程度,将化探、遥感、物探提取的成矿异常3个分量进行RGB融合处理,直观显示研究区矿化异常。与野外调查验证得到的1∶5万区域地质构造和矿产分布情况综合分析比对,证明文中方法可以更加科学的圈定找矿靶区,指导地质找矿工作。

This paper takes a polymetallic ore concentration area in Nurgai, western Inner Mongolia, as an example.Aeromagnetic geophysical data and geochemical soil data of 1 ∶ 50,000 scale, multi-spectral remote sensing image data of Landsat8 OLI are used, and is respectively processed by two-dimensional empirical mode decomposition, factor analysis,and composite principal component analysis. Then we obtained aeromagnetic geophysical anomaly component, geochemical metallogenic factor, and remote sensing iron alteration information. Considering human eyes’ sensitivity to colors and the importance of the extracted three kinds of information, we used RGB fusion method to fuse them. The anomaly areas in the study area are well displayed. Compared with the 1 ∶ 50,000 regional geological structure and mineral distribution, and verified by field investigation, the method in this paper can delineate the mineral target areas and guide geological prospecting work more scientifically.