paper
2022
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-Net Journal
2022-03-02
012
Mar 2022
Xia Chen, Haijiang Wang, Fudong Zhen et al.
Journal of Applied Remote Sensing
Faster R-CNN recognizes hail areas in Doppler radar imagery with over 86% accuracy and 97% precision on a test set.
Hail disaster recognition method based on artificial intelligence with Doppler radar data
In one sentence. Faster R-CNN recognizes hail areas in Doppler radar imagery with over 86% accuracy and 97% precision on a test set.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1117/1.jrs.16.014519 OpenAlex:W4214830757
- Added
- 2026-10-22
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