paper
2019
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-NetNanjing University of Information Science & Technology (NUIST) Journal
2019-09-24
022
Sep 2019
Rui Zhang, Qingshan Liu, Renlong Hang
IEEE Transactions on Geoscience and Remote Sensing
Nanjing University of Information Science & Technology (NUIST)
A two-branch CNN estimates northwest Pacific tropical cyclone intensity from infrared and water vapour images, reaching RMSE 5.13 m/s with 60×60 pixel inputs.
Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images
In one sentence. A two-branch CNN estimates northwest Pacific tropical cyclone intensity from infrared and water vapour images, reaching RMSE 5.13 m/s with 60×60 pixel inputs.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2019.2938204 OpenAlex:W2976850564
- Added
- 2026-10-22
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