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Paper Title |
REMOTE SENSING AND DEEP LEARNING FOR SUSTAINABLE MINING |
Paper Identifier | TH2.R12.4 |
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Authors |
Pedram Ghamisi, Helmholtz Zentrum Dresden Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Germany; Hao Li, Heidelberg University, Germany; Robert Jackisch, Behnood Rasti, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Germany; Richard Gloaguen, Helmholtz Zentrum Dresden Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Germany |
Session |
Advanced Remote Sensing Data Analysis for Sustainable Development |
Session Time |
Thu, 01 Oct, 14:30 - 16:30 UTC
Thu, 01 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Thu, 01 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Thu, 01 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
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Presentation Time [This Paper Only] |
Thu, 01 Oct, 15:10 - 15:20 UTC
Thu, 01 Oct, 23:10 - 23:20 China Standard Time (UTC +8)
Thu, 01 Oct, 17:10 - 17:20 Central Europe Time (UTC +2)
Thu, 01 Oct, 08:10 - 08:20 Pacific Daylight Time (UTC -7)
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Presentation Mode |
Virtual
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Topic |
Invited Sessions: Advanced Remote Sensing Data Analysis for Sustainable Development
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