Automatic Detection and Classification of Aurora in THEMIS All‐Sky Images

Abstract We report a novel machine‐learning algorithm for automatically detecting and classifying aurora in all–sky images (ASI) that is largely trained without requiring ground–truth labels. By including a small number of labeled images, we are able to automatically label all of the approximately 7...

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Bibliographic Details

Published in:	Journal of Geophysical Research: Machine Learning and Computation
Main Authors:	Jeremiah W. Johnson, Doğacan Su Öztürk, Donald Hampton, Hyunju K. Connor, Matthew Blandin, Amy Keesee
Format:	Article
Language:	English
Published:	Wiley 2024-12-01
Subjects:	aurora annotation machine learning THEMIS all‐sky images
Online Access:	https://doi.org/10.1029/2024JH000292