西藏Hyperion数据蚀变矿物识别初步研究

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。

STUDYING ON THE ALTERATION MINERALS IDENTIFICATION USING HYPERION DATA

The minerals identification is primary study using hyperspectral remote sensing technique. And it is also the field where hyperspectral imaging may be proved to be useful. Some alteration minerals, such as sericite(including high Al and low Al respectively), kaolinite and chlorite, are identified and extracted effectively and elementary by SIT(Spectral Identification Tree) technique based on decision rules from various minerals using satellite-borne hyperspectral imaging data at Qulong district of Tibert. Comparing with the geological map, the mineral identification by SIT gained approximate result. At the same time, one new similarity alteration minerals assembled area is discovered. Some geological information gained directly by hyperspectral imaging technique can be used to prognosticate and discover new ore spots or deposits.