基于遥感的多源信息融合在湖南永州南部地区找矿预测中的应用

The application of multi-source information fusion based on remote sensing to ore prospecting prediction in southern Yongzhou of Hunan Province

以湖南永州南部地区ETM+影像数据为信息源,通过信息提取、目视解译及统计分析,构建断裂优益度、蚀变矿物信息2个遥感找矿参数;选择工区W、Sn、Cu、Pb、Zn 5种元素,通过对其含量进行数据处理、相关性分析及因子分析,编制成矿元素地球化学特征及空间分布图,构建化探找矿参数。以GIS为平台,结合地质、遥感、化探手段,对找矿参数进行基于证据权重法的多源信息融合、分析及可视化,揭示出各找矿因子的致矿特征及相互关系,并形成一套多元信息综合找矿方法,为成矿预测及找矿靶区优选提供技术支持。

With the ETM ＋ image as the information source in southern Yongzhou area, two ore-prospecting parameters of remote sensing, i.e., advantage grade of fault structure and alteration mineral information, were built through the information extraction, visual interpretation and quantitative analysis. W, Sn, Cu, Pb and Zn elements in the working area were chosen to perform data-processing, correlation-analyzing and factor-analyzing and, as a result, the map of geochemical property and spatial distribution of metallogenic elements was drawn and geochemical exploration parameters were built. On the basis of the GIS platform, the ore-forming characteristics and mutual relationships of the prospecting factors were revealed through multi-source information fusion, analysis and visualization in combination with geological, remote sensing and geochemical exploration methods for multi-source information fusion, source analysis and visualization of the prospecting parameters. A set of multi- source information comprehensive prospecting technologies was established, which is helpful to predicting ore resources and optimizing metallogenic target areas.