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Deep Learning-Powered Insight from Dark ResourcesNo abstract available
Document ID
20160014829
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Maskey, Manil (NASA Marshall Space Flight Center Huntsville, AL United States)
Ramachandran, Rahul (NASA Marshall Space Flight Center Huntsville, AL United States)
Pradhan, Ritesh (Alabama Univ. Huntsville, AL, United States)
Miller, J. J. (Alabama Univ. Huntsville, AL, United States)
Date Acquired
December 22, 2016
Publication Date
December 16, 2016
Subject Category
Documentation And Information Science
Meteorology And Climatology
Report/Patent Number
MSFC-E-DAA-TN37811
Report Number: MSFC-E-DAA-TN37811
Meeting Information
Meeting: AGU Fall Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 12, 2016
End Date: December 16, 2016
Sponsors: American Geophysical Union
Funding Number(s)
WBS: WBS 430728.02.09.05.01
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Deep Learning
Satellite Imagery
Artificial Intelligence

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