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  • Presentation | NG13A: Machine Learning in Space Weather and Heliophysics II Poster
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  • NG13A-0355: Automatic Identification of Auroral Beads and Omega Bands in THEMIS All-Sky Images
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  • Board 0355‚ Hall EFG (Poster Hall)
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Author(s):
Jeremiah Johnson, University of New Hampshire Main Campus (First Author, Presenting Author)
Dogacan Ozturk, University of Alaska
Hyunju Connor, NASA Goddard Space Flight Center
Donald Hampton, University of Alaska Fairbanks
Amy Keesee, University of New Hampshire


We introduce an algorithm for efficiently searching the THEMIS all-sky image database for images similar to a user-specified target image. This facilitates comprehensive searches of the database for images that capture auroral phenomena of interest.



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