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Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission
Backes, Dietmar
2017
•
GRSG 2017 Annual Conference
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https://hdl.handle.net/10993/39324
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20171215_GRSGPresentation_V2-2.pdf
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Keywords :
Lunar Mapping; Crater Detection; Artificial Intelligence; Deep Learning; Lunar Reconnaissance Orbiter (LRO)
Research center :
Nasa-Ames & Seti Institute
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Space science, astronomy & astrophysics
Geological, petroleum & mining engineering
Author, co-author :
Backes, Dietmar
;
University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
yes
Language :
English
Title :
NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission
Publication date :
15 December 2017
Number of pages :
33
Event name :
GRSG 2017 Annual Conference
Event organizer :
GRSG
Event place :
Lisbon, Portugal
Event date :
13-12-2018 to 15-12-2018
By request :
Yes
Audience :
International
Focus Area :
Computational Sciences
Additional URL :
https://www.youtube.com/watch?v=opjLpuGuSvU
Name of the research project :
NASA-FDL, Lunar Resources Mission (Water and Volatiles)
Funders :
NASA, SpaceResources.lu & Intel
Commentary :
More informations under: https://frontierdevelopmentlab.org/fdl-2017; https://www.youtube.com/watch?v=dXXtYdfVov0
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since 09 April 2019
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