paper
2018
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-Net0–6 hNASA Preprint
2018-04-16
047
Apr 2018
Manil Maskey, Dan Cecil, Rahul Ramachandran et al.
NASA STI Repository (National Aeronautics and Space Administration)
NASA
Deep CNNs estimate tropical cyclone intensity directly from infrared satellite imagery as an objective alternative to subjective Dvorak analysis.
Tropical Cyclone Intensity Estimation Using Deep Convolutional Neural Networks
In one sentence. Deep CNNs estimate tropical cyclone intensity directly from infrared satellite imagery as an objective alternative to subjective Dvorak analysis.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- OpenAlex:W2803678489
- Added
- 2026-10-22
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