FR1.R14.4

ASSESSING LANDSAT-9 IN IDENTIFYING LITHOLOGY, USING A HYBRID METRIC-LEARNING AND SVM METHOD AGAINST BASELINE ALGORITHMS: A CASE STUDY OF THE WEST AFRICAN CRATON

Michael Appiah-Twum, Haitao Jia, Wenbo Xu, University of Electronic Science and Technology of China, China

Session:
FR1.R14: Remote Sensing Data Applied to Mineral Deposits: A New Era for Critical Raw Material Deposits Studies Oral

Track:
Community-Contributed Sessions

Location:
Room E

Presentation Time:
Fri, 21 Jul, 09:06 - 09:18 Pacific Time (UTC -7)

Session Co-Chairs:
Ana Cláudia Teodoro, Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto; Institute of Earth Sciences (ICT), Pole of University of Porto and Joana Cardoso-Fernandes, Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto; Institute of Earth Sciences (ICT), Pole of University of Porto
Session Manager:
Coryn Wolk
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Session FR1.R14
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