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A Transformer-Based Deep Learning Model for Successful Predictions of the 2021 Second-Year La Nina Condition 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 12, 页码: 10
作者:  Gao, Chuan;  Zhou, Lu;  Zhang, Rong-Hua
收藏  |  浏览/下载：97/0  |  提交时间：2023/11/30
the 2021 second-year cooling condition  a transformer-based deep learning model  3D multivariate prediction  subsurface thermal effect  comparison with dynamical models  
AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2782-2796
作者:  Gao, Le;  Li, Xiaofeng;  Kong, Fanzhou;  Yu, Rencheng;  Guo, Yuan;  Ren, Yibin
Adobe PDF(8280Kb)  |  收藏  |  浏览/下载：187/0  |  提交时间：2022/07/18
Algae  MODIS  Synthetic aperture radar  Optical sensors  Optical imaging  Marine vehicles  Spatial resolution  Deep learning (DL)  green algae detection  satellite remote sensing  
Dual-Branch Neural Network for Sea Fog Detection in Geostationary Ocean Color Imager 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:  Zhou, Yuan;  Chen, Keran;  Li, Xiaofeng
收藏  |  浏览/下载：134/0  |  提交时间：2022/12/09
Satellites  Oceans  Remote sensing  Feature extraction  Deep learning  Color  Annotations  Deep learning  satellite imagery  sea fog detection  semantic segmentation  
A Deep Learning Model for Green Algae Detection on SAR Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:  Guo, Yuan;  Gao, Le;  Li, Xiaofeng
收藏  |  浏览/下载：128/0  |  提交时间：2023/01/04
Green products  Algae  Radar polarimetry  Tides  Ocean temperature  Feature extraction  Sea surface  Deep learning (DL)  green algae  Sentinel-1 synthetic aperture radar (SAR) image  Yellow Sea  
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：188/0  |  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)  
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
Adobe PDF(1562Kb)  |  收藏  |  浏览/下载：147/0  |  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