CACM-Net: Daytime Cloud Mask for AGRI Onboard the FY-4A Satellite
Accurate cloud detection is a crucial initial stage in optical satellite remote sensing. In this study, a daytime cloud mask model is proposed for the Advanced Geostationary Radiation Imager (AGRI) onboard the Fengyun 4A (FY-4A) satellite based on a deep learning approach. The model, named “Convolut...
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| Hauptverfasser: | , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2024-07-01
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| Schriftenreihe: | Remote Sensing |
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| Online-Zugang: | https://www.mdpi.com/2072-4292/16/14/2660 |
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