基于地物光谱特征的成像光谱遥感矿物识别方法

成像光谱技术是遥感技术发展的前沿技术之一 ,它是在可见光、近红外及短波红外上 ,集图像、光谱于一体的具有高光谱分辨率的纳米遥感技术。文中从岩矿光谱特性的研究入手 ,通过光谱特征识别准则 ,利用机载的可见光、近红外及短波红外成像光谱 (HyMap)数据 ,开展成像光谱遥感矿物识别的试验研究。试验识别的矿物有绿泥石、绿帘石、橄榄石、绢云母、滑石、石膏及黑云母等。试验结果表明 ,通过矿物光谱特征分析与其识别原则进行成像光谱遥感矿物识别获得了很好的效果。因此 ,基于地物光谱特征进行成像光谱矿物直接识别确实可行 ,有利于矿产资源评价中成矿物源和矿化蚀变信息分析。

MINERAL RECOGNITION METHOD BY SPECTROMETRY REMOTE SENSING BASED ON MATERIAL SPECTRAL CHARACTERISTICS

The imaging spectrometry technology is one of the frontier techniques in remote sensing development. It is the nanometer remote sensing method technique combined with imaging, spectra and high spectral resolution function in 0.40 ～2.50 μm wavelength. By analyzing the spectral features of minerals, creating the discrimination standard of characteristics and using the airborne imaging spectrometry (HyMap) data, we have carried out the mineral recognition trial and successfully discriminated the minerals of serpentine, chlorite, epidote, olivine, gypsum,, talc and biotite. The results show that the method of direct recognition of minerals based on material spectral characteristics is useful and practicable, and can be used in the analysis of the original material of deposit, and of the mineralization alteration information for mineral resource investigation.