paper
2021
Extremes & hazards
New model or method
CNN / U-Net Journal
2021-06-09
012
Jun 2021
Zongsheng Zheng, Chenyu Hu, Zhaorong Liu et al.
Journal of Atmospheric and Oceanic Technology
Typhoon-CNNs classifies typhoon intensity from more than 10,000 satellite cloud images with 88.74% accuracy, beating ResNet50, InceptionV3 and VGG16.
Deep Learning for Typhoon Intensity Classification Using Satellite Cloud Images
In one sentence. Typhoon-CNNs classifies typhoon intensity from more than 10,000 satellite cloud images with 88.74% accuracy, beating ResNet50, InceptionV3 and VGG16.
Labels
- Topic
- Extremes & hazards
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1175/jtech-d-19-0207.1 OpenAlex:W3172000859
- Added
- 2026-10-22
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