paper
2020
Observations & remote sensing
Application study
CNN / U-NetChina Meteorological Administration (CMA) Journal
2020-10-19
018
Oct 2020
Zepei Wu, Shuo Liu, Delong Zhao et al.
ATMOSPHERE-OCEAN
China Meteorological Administration (CMA)
A transfer-learned EfficientNet-b6 CNN classifies airborne cloud-probe ice-crystal images with 98% average precision, supporting cloud microphysics research.
Neural Network Classification of Ice-Crystal Images Observed by an Airborne Cloud Imaging Probe
In one sentence. A transfer-learned EfficientNet-b6 CNN classifies airborne cloud-probe ice-crystal images with 98% average precision, supporting cloud microphysics research.
Labels
- Topic
- Observations & remote sensing
- Type
- Application study
- Method
- CNN / U-Net
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1080/07055900.2020.1843393 OpenAlex:W3110448726
- Added
- 2026-10-22
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