关键词: 光谱特征, TM, 主成分分析, 大冶铁矿, 固体废弃物

Abstract: 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.

Key words: Spectral features, TM, Principal component analysis, Daye iron mine, Solid waste