PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting
Precipitation nowcasting is an important task, which can serve numerous applications such as urban alert and transportation. Previous studies leverage convolutional recurrent neural networks (RNNs) to address the problem. However, they all suffer from two inherent drawbacks of the convolutional RNN,...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2021-01-01
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| Colecção: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/9272611/ |
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