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Multilayer Fusion Recurrent Neural Network for Sea Surface Height Anomaly Field Prediction 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhou, Yuan;  Lu, Chang;  Chen, Keran;  Li, Xiaofeng
Adobe PDF(5381Kb)  |  收藏  |  浏览/下载:185/0  |  提交时间:2022/04/12
Computer architecture  Microprocessors  Predictive models  Mathematical models  Sea surface  Data models  Satellites  Deep learning (DL)  field prediction  satellite remote sensing data  sea surface height anomaly (SSHA)  
Deep-learning-based information mining from ocean remote-sensing imagery 期刊论文
NATIONAL SCIENCE REVIEW, 2020, 卷号: 7, 期号: 10, 页码: 1584-1605
作者:  Li, Xiaofeng;  Liu, Bin;  Zheng, Gang;  Ren, Yibin;  Zhang, Shuangshang;  Liu, Yingjie;  Gao, Le;  Liu, Yuhai;  Zhang, Bin;  Wang, Fan
Adobe PDF(7492Kb)  |  收藏  |  浏览/下载:216/0  |  提交时间:2021/04/12
ocean remote sensing  big data  artificial intelligence  image classification  
Purely satellite data-driven deep learning forecast of complicated tropical instability waves 期刊论文
SCIENCE ADVANCES, 2020, 卷号: 6, 期号: 29, 页码: 9
作者:  Zheng, Gang;  Li, Xiaofeng;  Zhang, Rong-Hua;  Liu, Bin
Adobe PDF(7758Kb)  |  收藏  |  浏览/下载:88/0  |  提交时间:2020/09/25