paper
2023
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-NetNanjing University of Information Science & Technology (NUIST) Journal
2023-05-22
026
May 2023
Wei Tian, Linhong Lai, Xianghua Niu et al.
Journal of Applied Remote Sensing
Nanjing University of Information Science & Technology (NUIST)
Dynamic-balance CNN estimates tropical cyclone intensity from satellite imagery with 8.32 kt RMSE, 35% lower than the Dvorak technique.
Estimating tropical cyclone intensity using dynamic balance convolutional neural network from satellite imagery
In one sentence. Dynamic-balance CNN estimates tropical cyclone intensity from satellite imagery with 8.32 kt RMSE, 35% lower than the Dvorak technique.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Global
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1117/1.jrs.17.024513 OpenAlex:W4377232877
- Added
- 2026-10-22
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