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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:321/77  |  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  
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:310/52  |  提交时间:2020/06/02
Deep learning  extreme precipitation  generative adversarial networks (GANs)  radar image sequences  
Radar and Rain Gauge Merging-Based Precipitation Estimation via Geographical-Temporal Attention Continuous Conditional Random Field 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 9, 页码: 5558-5571
作者:  Tang, Yongqiang;  Yang, Xuebing;  Zhang, Wensheng;  Zhang, Guoping
浏览  |  Adobe PDF(3564Kb)  |  收藏  |  浏览/下载:454/123  |  提交时间:2018/10/10
Continuous Conditional Random Field (Ccrf)  Merging Method  Precipitation Estimation  Spatiotemporal Correlation