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...
| 出版年: | Universe |
|---|---|
| 主要な著者: | , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2023-02-01
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| 主題: | |
| オンライン・アクセス: | https://www.mdpi.com/2218-1997/9/2/96 |
