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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：海洋研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657 作者:  Zhou, Yuan;  Ren, Tian;  Chen, Keran;  Gao, Le;  Li, Xiaofeng 收藏  |  浏览/下载：0/0  |  提交时间：2024/06/04 Forecasting  Predictive models  Atmospheric waves  Spatiotemporal phenomena  Sea surface  Ocean waves  Data models  Sea-surface height anomaly (SSHA)  deep learning (DL)  spatiotemporal prediction  Rossby waves   Global estimation of phytoplankton pigment concentrations from satellite data using a deep-learning-based model 期刊论文 REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 294, 页码: 16 作者:  Li, Xiaolong;  Yang, Yi;  Ishizaka, Joji;  Li, Xiaofeng 收藏  |  浏览/下载：6/0  |  提交时间：2023/12/13 Phytoplankton pigments  Remote sensing  Deep learning  Satellite  Global Ocean  Phytoplankton community  El Nino   A self-attention-based neural network for three-dimensional multivariate modeling and its skillful ENSO predictions 期刊论文 SCIENCE ADVANCES, 2023, 卷号: 9, 期号: 10, 页码: 1 作者:  Zhou, Lu;  Zhang, Rong-Hua 收藏  |  浏览/下载：0/0  |  提交时间：2023/12/13 A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 19 作者:  Ren, Yibin;  Li, Xiaofeng;  Zhang, Wenhao 收藏  |  浏览/下载：16/0  |  提交时间：2022/07/18 Deep fully convolutional networks (FCNs)  recursively predicting  satellite-derived sea ice concentration (SIC)  SIC prediction  temporal-spatial attention   Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning 期刊论文 GEOPHYSICAL RESEARCH LETTERS, 2021, 卷号: 48, 期号: 17, 页码: 11 作者:  Liu, Yingjie;  Zheng, Quanan;  Li, Xiaofeng 收藏  |  浏览/下载：26/0  |  提交时间：2021/11/30 meososcale eddies  abnormal eddies  multi-source remote sensing data  deep learning  data fusion  statistical analysis of spatiotemporal characteristics