铁铜多金属矿开采矿区及其固体废弃物信息提取方法研究

Information Extraction Method of Iron-copper Polymetallic Mining District and Solid Waste

矿山开采产生的大量固体废弃物长期堆置会导致严重的环境效应,快速调查固体废弃物的分布有着迫切的应用需求。以鄂东南为研究区,从铁铜多金属矿开采区及其固体废弃物光谱特征出发,根据TM数据的光谱特征和地质找矿中的铁染信息提取方案,采用主成分分析法,设计了铁铜多金属矿开采区及其固体废弃物信息提取方法,并成功地提取了铁铜多金属矿开采区及其固体废弃物信息。将提取结果与已知矿床矿点和基于高分辨率遥感数据识别的固体废弃物叠加后表明,依据本方案对提取铁铜多金属矿开采区及其固体废弃物信息是可行的,这一研究为基于中等分辨率遥感数据提取铁矿固体废弃物提供了相应的参考。

Long-term piling for large quantities of solid waste produced in mining would lead to serious environmental problems,and it is urgent for application to rapidly survey the distribution of solid waste.Taking southeast of Hubei as the study case,based on the spectral characteristics of solid wastes and the iron and copper polymetallic mining district,and according to the spectral characteristics of TM data and the iron staining information extraction program in geological prospecting,the information extraction methods of the iron and copper multi-metal mining district and solid waste was designed with principal component analysis method.Then,the information of the iron and copper polymetallic mining district and solid waste were successfully extracted.In combination with the extraction results and the known gold deposits points and the solid waste recognized based on high resolution remote sensing data,it is shown that this program is feasible for the information extraction of iron and copper polymetallic mining district and solid waste.This study provides a corresponding reference for extraction of iron ore solid waste based on medium resolution remote sensing data.