paper
2020
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-Net Journal
2020-01-01
012
Jan 2020
Linli CUI, Zhao CHEN, Xingxing YU et al.
National Remote Sensing Bulletin
CNN estimates FY-4A satellite tropical cyclone intensity off southeast China with over 97% class accuracy and 1.75 m/s mean absolute error.
Deep learning estimation of tropical cyclone intensity along the southeast coast of China using FY-4A satellite
In one sentence. CNN estimates FY-4A satellite tropical cyclone intensity off southeast China with over 97% class accuracy and 1.75 m/s mean absolute error.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.11834/jrs.20209124 OpenAlex:W4383117950
- Added
- 2026-10-22
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