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DeepBlue: Advanced convolutional neural network applications for ocean remote sensing 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2023, 页码: 24
作者:  Wang, Haoyu;  Li, Xiaofeng
Adobe PDF(4818Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07
Characteristics of surface physical and biogeochemical parameters within mesoscale eddies in the Southern Ocean 期刊论文
BIOGEOSCIENCES, 2023, 卷号: 20, 期号: 23, 页码: 4857-4874
作者:  Liu, Qian;  Liu, Yingjie;  Li, Xiaofeng
Adobe PDF(15026Kb)  |  收藏  |  浏览/下载：26/0  |  提交时间：2024/04/07
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：13/0  |  提交时间：2024/04/07
Tropical cyclones  Remote sensing  Deep learning  
Impact of surface and subsurface-intensified eddies on sea surface temperature and chlorophyll a in the northern Indian Ocean utilizing deep learning 期刊论文
OCEAN SCIENCE, 2023, 卷号: 19, 期号: 6, 页码: 1579-1593
作者:  Liu, Yingjie;  Li, Xiaofeng
Adobe PDF(14453Kb)  |  收藏  |  浏览/下载：15/0  |  提交时间：2024/04/07
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：51/0  |  提交时间：2023/12/13
Phytoplankton pigments  Remote sensing  Deep learning  Satellite  Global Ocean  Phytoplankton community  El Nino  
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：234/0  |  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：159/0  |  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  
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Ren, Yibin;  Li, Xiaofeng;  Yang, Xiaofeng;  Xu, Huan
Adobe PDF(8369Kb)  |  收藏  |  浏览/下载：227/0  |  提交时间：2022/02/18
Sea ice  Radar polarimetry  Feature extraction  Decoding  Oceans  Kernel  Image segmentation  Dual-attention  sea ice and open water classification  synthetic aperture radar (SAR) image  U-Net  
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
Adobe PDF(22032Kb)  |  收藏  |  浏览/下载：156/0  |  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  
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：213/0  |  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