Reference : NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission |
Scientific congresses, symposiums and conference proceedings : Unpublished conference | |||
Physical, chemical, mathematical & earth Sciences : Space science, astronomy & astrophysics Engineering, computing & technology : Geological, petroleum & mining engineering Engineering, computing & technology : Multidisciplinary, general & others | |||
Computational Sciences | |||
http://hdl.handle.net/10993/39324 | |||
NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission | |
English | |
Backes, Dietmar ![]() | |
15-Dec-2017 | |
33 | |
No | |
Yes | |
International | |
GRSG 2017 Annual Conference | |
13-12-2018 to 15-12-2018 | |
GRSG | |
Lisbon | |
Portugal | |
[en] Lunar Mapping ; Crater Detection ; Artificial Intelligence ; Deep Learning ; Lunar Reconnaissance Orbiter (LRO) | |
Nasa-Ames & Seti Institute | |
NASA, SpaceResources.lu & Intel | |
NASA-FDL, Lunar Resources Mission (Water and Volatiles) | |
Researchers ; Professionals ; Students ; General public | |
http://hdl.handle.net/10993/39324 | |
https://www.youtube.com/watch?v=opjLpuGuSvU | |
More informations under: https://frontierdevelopmentlab.org/fdl-2017; https://www.youtube.com/watch?v=dXXtYdfVov0 |
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