This article reviews the potential of Hyperspectral Remote Sensing (HRS) technique in various geological applications ranging from lithological mapping to exploration of economic minerals of lesser crustal abundance. This work updates understanding on the subject starting from spectroscopy of minerals to its application in exploring mineral deposits and hydrocarbon reservoirs through different procedures such as atmospheric correction, noise reduction, retrieval of pure spectral endmembers and unmixing. Besides linear unmixing, nonlinear unmixing and parameters attributed to nonlinear behaviour of reflected light are also addressed. A few case studies are included to demonstrate the efficacy of this technique in different geological explorations. Finally, recent developments in this field like ultra spectral imaging from unmanned aerial vehicles and its consequences are pointed out.
机构:
Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
ZHAO Yingjun
QIN Kai
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
QIN Kai
SUN Yu
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
SUN Yu
LIU Dechang
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
LIU Dechang
TIAN Feng
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
TIAN Feng
PEI Chengkai
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
PEI Chengkai
YANG Yanjie
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
YANG Yanjie
YANG Guofang
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology
YANG Guofang
ZHOU Jiajing
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Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology