Automated Classification of Auroral Images with Deep Neural Networks
Terrestrial auroras are highly structured that visualize the perturbations of energetic particles and electromagnetic fields in Earth’s space environments. However, the identification of auroral morphologies is often subjective, which results in confusion in the community. Automated tools are highly...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Universe |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-1997/9/2/96 |