不同矿床类型铁尾矿遥感监测的识别窗口研究

Study on Identification Window of Remote Sensing Monitoring about Iron Tailings of Different Iron-ore Deposit Types

铁尾矿遥感监测是矿区环境生态监测的基础工作。为了识别不同区域和不同矿床类型铁尾矿的光谱差异性,对河北境内不同矿区的铁尾矿样本进行了光谱测量,经过平均、小波去噪、包络线去除等预处理后,分析了铁尾矿光谱特征参量并利用SAM和SFF方法进行匹配,优化了不同矿床类型铁尾矿遥感监测的识别窗口。研究结果表明:相同矿床类型不同区域的铁尾矿反射光谱曲线相近,具有相同吸收特征;不同矿床类型铁尾矿具有共性的光谱识别标志,在550,950,1940nm波谱位置具有典型光谱吸收谷,受伴生矿物的影响较小,可作为铁尾矿遥感识别与监测的最佳波谱窗口。

Abstraet：The remote sensing monitoring of iron tailings is a basic work of environmental ecological monitoring in mining area. In order to identify the spectral differences between different regions and iron tailings of different deposit types, the spectral measurement for iron tailings samples in different mining areas in Hebei were conducted. After averaging, wavelet denoising, envelope removing and other pretreatments, the spectral characteristic parameters of iron tailings were analyzed and matched by SAM and SFF method, and the identification window of remote sensing monitoring about iron tailings of different deposit types was optimized. The results showed that the reflectance spectra of iron tailings in different areas of the same deposit type were similar and had the same absorption characteristics. The iron tailings of different deposit types had a common spectral identification mark, which had a typical spectral absorption valley at 550, 950 nm and 1940 nm. This spectral absorption valley was little affected by the associated minerals and can be used as the best spectral window for remote sensing identification and monitoring of iron tailings. Key words：Iron railings, Deposit type, Spectral characteristics, Identification window