摘要
Objective Hyperspectral remote sensing has attracted much attention in remote sensing research during recent years. It can elaborately identiry spectral characteristics of different objects by acquiring continuous spectral curves of ground objects, and can thus provide more information for geological research （Zhao Yingjun et al., 2015）. With the deepening hyperspectral remote sensing research, scholars have focused from the classification of alteration minerals to the identification of subclass minerals in order to explore their significance fbr ore prospecting. This work utilized hyperspectral remote sensing technology in the Xitan region of Gansu Province to identify limonite and two types of sericite subclass minerals, and conducted field verification and geochemical survey. In addition, we analyzed the geological environment of subclass sericite minerals （Van Ruitenbeek et al., 2006） to provide evidence for gold ore prospecting.
Objective Hyperspectral remote sensing has attracted much attention in remote sensing research during recent years. It can elaborately identiry spectral characteristics of different objects by acquiring continuous spectral curves of ground objects, and can thus provide more information for geological research （Zhao Yingjun et al., 2015）. With the deepening hyperspectral remote sensing research, scholars have focused from the classification of alteration minerals to the identification of subclass minerals in order to explore their significance fbr ore prospecting. This work utilized hyperspectral remote sensing technology in the Xitan region of Gansu Province to identify limonite and two types of sericite subclass minerals, and conducted field verification and geochemical survey. In addition, we analyzed the geological environment of subclass sericite minerals （Van Ruitenbeek et al., 2006） to provide evidence for gold ore prospecting.
基金
financially supported by the research project of China National Uranium Limited Company(grant No.201498)
the China Geological Survey Project(grant No.12120113072900)
