Detecting Extratropical Cyclones of the Northern Hemisphere with Single Shot Detector
In this paper, we propose a deep learning-based model to detect extratropical cyclones (ETCs) of the northern hemisphere, while developing a novel workflow of processing images and generating labels for ETCs. We first labeled the cyclone center by adapting an approach from Bonfanti et al. in 2017 an...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2022-01-01
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| Col·lecció: | Remote Sensing |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2072-4292/14/2/254 |
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