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Deep Learning for Transverse Cirrus Bands Detection and AnalysisNo abstract available
Document ID
20180008666
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Miller, Jeffrey (Alabama Univ. Huntsville, AL, United States)
Nair, Udaysankar (Alabama Univ. Huntsville, AL, United States)
Ramachandran, Rahul (NASA Marshall Space Flight Center Huntsville, AL, United States)
Maskey, Manil (NASA Marshall Space Flight Center Huntsville, AL, United States)
Date Acquired
December 19, 2018
Publication Date
December 10, 2018
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
MSFC-E-DAA-TN63354
Report Number: MSFC-E-DAA-TN63354
Meeting Information
Meeting: American Geophysical Union (AGU) Fall Meeting 2018
Location: Washington, DC
Country: United States
Start Date: December 10, 2018
End Date: December 14, 2018
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Deep Learning
Transverse Cirrus Bands

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