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Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data 期刊论文
ATMOSPHERE, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:  Xie, Bowen;  Qi, Jifeng;  Yang, Shuguo;  Sun, Guimin;  Feng, Zhongkun;  Yin, Baoshu;  Wang, Wenwu;  Salata, Ferdinando
收藏  |  浏览/下载：3/0  |  提交时间：2024/04/07
sea surface temperature  deep learning  3D U-Net model  marine heat waves  South China Sea  multi-source data  
Developing a Data-Driven Transfer Learning Model to Locate Tropical Cyclone Centers on Satellite Infrared Imagery 期刊论文
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2023, 卷号: 40, 期号: 12, 页码: 1417-1430
作者:  Wang, Chong;  Li, Xiaofeng
Adobe PDF(40204Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/07
Tropical cyclones  Remote sensing  Deep learning  
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：36/0  |  提交时间：2023/12/13
Phytoplankton pigments  Remote sensing  Deep learning  Satellite  Global Ocean  Phytoplankton community  El Nino  
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：96/0  |  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  
Using a deep-learning approach to infer and forecast the Indonesian Throughflow transport from sea surface height 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 10
作者:  Xin, Linchao;  Hu, Shijian;  Wang, Fan;  Xie, Wenhong;  Hu, Dunxin;  Dong, Changming
收藏  |  浏览/下载：47/0  |  提交时间：2023/12/13
Indonesian Throughflow  sea surface height  neural network  deep learning  CNN  
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:  Ren, Yibin;  Li, Xiaofeng
收藏  |  浏览/下载：25/0  |  提交时间：2023/12/13
Predictive models  Atmospheric modeling  Sea ice  Numerical models  Arctic  Ocean temperature  Data models  Deep learning  Pan-Arctic  physically constrained loss function  sea ice concentration (SIC) prediction  subseasonal scale  
Exploiting Frequency-Domain Information of GNSS Reflectometry for Sea Surface Wind Speed Retrieval 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:  Chen, Keran;  Zhou, Yuan;  Li, Shuoshi;  Wang, Ping;  Li, Xiaofeng
收藏  |  浏览/下载：54/0  |  提交时间：2023/12/13
Cyclone global navigation satellite system (CyGNSS)  deep learning  frequency domain  global navigation satellite system reflectometry (GNSS-R)  wind speed retrieval  
Automatic Waterline Extraction and Topographic Mapping of Tidal Flats From SAR Images Based on Deep Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2022, 卷号: 49, 期号: 2, 页码: 13
作者:  Zhang, Shuangshang;  Xu, Qing;  Wang, Haoyu;  Kang, Yanyan;  Li, Xiaofeng
Adobe PDF(5243Kb)  |  收藏  |  浏览/下载：167/0  |  提交时间：2022/04/12
synthetic aperture radar  tidal flat  deep learning  waterline  DEM  
Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Wang, Chong;  Zheng, Gang;  Li, Xiaofeng;  Xu, Qing;  Liu, Bin;  Zhang, Jun
Adobe PDF(4821Kb)  |  收藏  |  浏览/下载：209/0  |  提交时间：2022/02/18
Estimation  Ocean temperature  Clouds  Tropical cyclones  Cyclones  Training  Geostationary satellites  Convolutional neural network (CNN)  deep learning  remote sensing  tropical cyclone (TC)  
A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:  Ren, Yibin;  Li, Xiaofeng;  Xu, Huan
Adobe PDF(12529Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/02/18
Marine vehicles  Radar polarimetry  Feature extraction  Synthetic aperture radar  Data mining  Radar imaging  Oceans  Custom loss function  deep learning (DL)  deep neural network (DNN) regression  ship size extraction  synthetic aperture radar (SAR) image