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CASIA OpenIR
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Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：27/8  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Dual feature enhanced video super-resolution network based on low-light scenarios 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2023, 卷号: 115, 页码: 8
作者:  Zhang, Huan;  Cao, Yihao;  Cai, Jianghui;  Cai, Xingjuan;  Zhang, Wensheng
收藏  |  浏览/下载：98/0  |  提交时间：2023/11/17
Video super-resolution (VSR)  Feature enhancement  Information re-fusion  Attention mechanism  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2022, 2022, 卷号: 0, 0, 期号: 0, 页码: 0, 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：327/77  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
Classifying Clear Air Echoes via Static and Motion Streams Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Qu, Yuxun;  Zhang, Chenyang;  Yang, Xuebing;  Wu, Yajing;  Zhang, Wensheng;  Zhang, Guoping
Adobe PDF(2306Kb)  |  收藏  |  浏览/下载：334/48  |  提交时间：2022/01/27
Radar  Radar imaging  Atmospheric modeling  Training  Streaming media  Image segmentation  Image sequences  Classification of nonprecipitation echoes  clear air echoes  feature fusion  radar image segmentation  
Learning to Generate Radar Image Sequences Using Two-Stage Generative Adversarial Networks 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 17, 期号: 3, 页码: 401-405
作者:  Zhang, Chenyang;  Yang, Xuebing;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(2861Kb)  |  收藏  |  浏览/下载：317/53  |  提交时间：2020/06/02
Deep learning  extreme precipitation  generative adversarial networks (GANs)  radar image sequences