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New Identification of Sericite Subclass Minerals Using Airborne Hyperspectral Data in the Xitan Region of Gansu Province and its Significance in Gold Ore Prospecting
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作者 SUN Yu ZHAO Yingjun +2 位作者 QIN Kai TIAN Feng LIU Pengfei 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2018年第1期426-427,共2页
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 sp... 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. 展开更多
关键词 sericite subclass Minerals Using Airborne Hyperspectral
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