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Paper Title |
SCHEDULING MISSION RECONFIGURATION FOR AN INTERFEROMETRY SYNTHETIC APERTURE RADAR USING DEEP REINFORCEMENT LEARNING |
Paper Identifier | FR1.R2.9 |
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Authors |
Antoni Viros-i-Martin, Daniel Selva, Texas A&M University, United States; Ryan Alimo, NASA Jet Propulsion Laboratory, California Institute of Technology, United States |
Session |
Machine Learning for Earth Observation II |
Session Time |
Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
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Presentation Time [This Paper Only] |
Fri, 02 Oct, 13:20 - 13:30 UTC
Fri, 02 Oct, 21:20 - 21:30 China Standard Time (UTC +8)
Fri, 02 Oct, 15:20 - 15:30 Central Europe Time (UTC +2)
Fri, 02 Oct, 06:20 - 06:30 Pacific Daylight Time (UTC -7)
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Presentation Mode |
Virtual
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Topic |
Special Themes: Artificial Intelligence in Remote Sensors
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