paper
2023
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-NetChina Meteorological Administration (CMA) Journal
2023-07-28
022
Jul 2023
Changjiang Zhang, Liu Zhang, Leiming Ma et al.
International Journal of Remote Sensing
China Meteorological Administration (CMA)
WEY-TCNet combines wavelet fusion and YOLOX with channel attention to detect tropical cyclones in Fengyun-2D infrared images, reaching 91.5% mAP versus 86.7% baseline.
Tropical cyclone detection by combining wavelet transform with deep learning using infrared satellite images
In one sentence. WEY-TCNet combines wavelet fusion and YOLOX with channel attention to detect tropical cyclones in Fengyun-2D infrared images, reaching 91.5% mAP versus 86.7% baseline.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1080/01431161.2023.2235641 OpenAlex:W4385344390
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.