paper
2023
Observations & remote sensing
New model or method
CNN / U-NetRNN / LSTM / ConvLSTMChina Meteorological Administration (CMA) Journal
2023-06-27
022
Jun 2023
Zhuoya Ni, Mengdie Wu, Qifeng Lu et al.
International Journal of Remote Sensing
China Meteorological Administration (CMA)
End-to-end DNN, CNN and CNN-LSTM models detect clouds in FY-3D HIRAS infrared hyperspectral soundings, with CNN and CNN-LSTM reaching 0.96 accuracy.
Research on infrared hyperspectral remote sensing cloud detection method based on deep learning
In one sentence. End-to-end DNN, CNN and CNN-LSTM models detect clouds in FY-3D HIRAS infrared hyperspectral soundings, with CNN and CNN-LSTM reaching 0.96 accuracy.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Domain
- Global
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1080/01431161.2023.2221806 OpenAlex:W4382249335
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.