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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：262/45  |  提交时间：2020/06/02
Deep learning  extreme precipitation  generative adversarial networks (GANs)  radar image sequences  
Deep Convolutional Activations-Based Features for Ground-Based Cloud Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 6, 页码: 816-820
作者:  Shi, Cunzhao;  Wang, Chunheng;  Wang, Yu;  Xiao, Baihua
浏览  |  Adobe PDF(755Kb)  |  收藏  |  浏览/下载：477/179  |  提交时间：2017/07/18
Cloud Classification  Convolutional Activations  Convolutional Neural Network (Cnn)  Fine-tune  Max Pooling  Sum Pooling  
Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 5, 页码: 719-723
作者:  Shi, Cunzhao;  Wang, Yu;  Wang, Chunheng;  Xiao, Baihua
浏览  |  Adobe PDF(1456Kb)  |  收藏  |  浏览/下载：378/117  |  提交时间：2017/09/12
Cloud Detection  Color  Graph Model (Gm)  Segmentation  Superpixel  Texture  
Tensor Ensemble of Ground-Based Cloud Sequences: Its Modeling, Classification, and Synthesis 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 卷号: 10, 期号: 5, 页码: 1190-1194
作者:  Liu, Shuang;  Wang, Chunheng;  Xiao, Baihua;  Zhang, Zhong;  Cao, Xiaozhong
收藏  |  浏览/下载：153/0  |  提交时间：2015/08/12
Ground-based Cloud Sequences (Gcss)  Tensor Ensemble