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Reconstruction of Subsurface Salinity Structure in the South China Sea Using Satellite Observations: A LightGBM-Based Deep Forest Method 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 19
作者:  Dong, Lin;  Qi, Jifeng;  Yin, Baoshu;  Zhi, Hai;  Li, Delei;  Yang, Shuguo;  Wang, Wenwu;  Cai, Hong;  Xie, Bowen
收藏  |  浏览/下载：198/0  |  提交时间：2022/11/11
machine learning  ocean subsurface salinity structure  South China Sea  satellite remote sensing data  
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：284/0  |  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)