NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission

Reference : NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Space science, astronomy & astrophysics Engineering, computing & technology : Geological, petroleum & mining engineering Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/39324

Title :	NASA-FDL Artificial Intelligence in Planetary Science; Lunar Resource Mission
Language :	English
Author, co-author :	Backes, Dietmar [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	15-Dec-2017
Number of pages :	33
Peer reviewed :	No
On invitation :	Yes
Audience :	International
Event name :	GRSG 2017 Annual Conference
Event date :	13-12-2018 to 15-12-2018
Event organizer :	GRSG
Event place (city) :	Lisbon
Event country :	Portugal
Keywords :	[en] Lunar Mapping ; Crater Detection ; Artificial Intelligence ; Deep Learning ; Lunar Reconnaissance Orbiter (LRO)
Research centres :	Nasa-Ames & Seti Institute
Funders :	NASA, SpaceResources.lu & Intel
Name of the research project :	NASA-FDL, Lunar Resources Mission (Water and Volatiles)
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/39324
Other URL :	https://www.youtube.com/watch?v=opjLpuGuSvU
Commentary :	More informations under: https://frontierdevelopmentlab.org/fdl-2017; https://www.youtube.com/watch?v=dXXtYdfVov0

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	File	Commentary	Version	Size	Access
Open access	20171215_GRSGPresentation_V2-2.pdf		Publisher postprint	4.82 MB	View/Open

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