Analysis of 2D airglow imager data with respect to dynamics using machine learning
<p>We demonstrate how machine learning can be easily applied to support the analysis of large quantities of excited hydroxyl (OH<span class="inline-formula"><sup>*</sup></span>) airglow imager data. We use a TCN (temporal convolutional network) classification...
| Published in: | Atmospheric Measurement Techniques |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-06-01
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| Online Access: | https://amt.copernicus.org/articles/16/3141/2023/amt-16-3141-2023.pdf |