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矿物识别是高光谱遥感技术研究的重要内容 ,也是高光谱最能发挥作用的领域。文章以最新获取的西藏驱龙地区卫星高光谱Hyperion数据为例 ,进行了星载高光谱数据蚀变矿物识别的初步研究。根据矿物光谱识别规则和识别谱系 ,初步识别并提取出高铝和低铝白云母化、高岭石化以及绿泥石化等蚀变矿物。与已知地质资料对照分析 ,所提取的蚀变信息与矿区地质情况基本吻合 ,同时发现一个新的类似的蚀变组合。
Mineral identification is an important part of the research of hyperspectral remote sensing technology and also the field where hyperspectral can play the most role. Taking the newly acquired Hyperion data of Tibet Longlong satellite as an example, a preliminary study on alteration of mineralization by spaceborne hyperspectral data was carried out. According to the rules of mineral spectrum identification and identification of pedigree, the altered minerals such as high-aluminum and low-aluminum muscovite, kaolinite and chlorite were identified and extracted. Compared with the known geological data, the extracted alteration information basically agrees with the geological conditions of the mining area and a new similar alteration combination is found.