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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：1/0  |  提交时间：2024/04/07
Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 272, 页码: 15
作者:  Zhang, Xudong;  Wang, Haoyu;  Wang, Shuo;  Liu, Yanliang;  Yu, Weidong;  Wang, Jing;  Xu, Qing;  Li, Xiaofeng
Adobe PDF(12620Kb)  |  收藏  |  浏览/下载：214/0  |  提交时间：2022/04/12
Internal wave  Amplitude  Transfer learning  Remote sensing  In-situ measurement  Laboratory experiment  
Numerical Simulations of Internal Solitary Wave Evolution Beneath an Ice Keel 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2022, 卷号: 127, 期号: 2, 页码: 21
作者:  Zhang, Peiwen;  Xu, Zhenhua;  Li, Qun;  You, Jia;  Yin, Baoshu;  Robertson, Robin;  Zheng, Quanan
Adobe PDF(4583Kb)  |  收藏  |  浏览/下载：168/0  |  提交时间：2022/04/12
Arctic ocean  Sea ice  Warming climate  Internal wave  Mixing  Heat transfer  
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：121/0  |  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：202/0  |  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  
The Fusion of Physical, Textural, and Morphological Information in SAR Imagery for Hurricane Wind Speed Retrieval Based on Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:  Mu, Shanshan;  Li, Xiaofeng;  Wang, Haoyu
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：186/0  |  提交时间：2022/07/18
Hurricanes  Synthetic aperture radar  Wind speed  Radar polarimetry  Sea surface  Sea measurements  Data models  Deep learning  hurricane wind  synthetic aperture radar (SAR)  
Combination of Satellite Observations and Machine Learning Method for Internal Wave Forecast in the Sulu and Celebes Seas 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 4, 页码: 2822-2832
作者:  Zhang, Xudong;  Li, Xiaofeng
Adobe PDF(28337Kb)  |  收藏  |  浏览/下载：204/0  |  提交时间：2021/06/24
Oceans  Predictive models  Satellite broadcasting  MODIS  Satellites  Machine learning  Spatial resolution  Celebes sea  internal wave (IW)  machine learning  Sulu sea  
An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models 期刊论文
ACTA OCEANOLOGICA SINICA, 2021, 卷号: 40, 期号: 1, 页码: 85-102
作者:  Wei, Jianfen;  Wang, Zhaomin;  Gu, Mingyi;  Luo, Jing-Jia;  Wang, Yunhe
Adobe PDF(6789Kb)  |  收藏  |  浏览/下载：190/0  |  提交时间：2021/05/11
Arctic Basin  surface radiation budget  cloud radiative effect (CRE)  CMIP6 models  CERES  CloudSatCALIPSO  APP-x  
A Machine-Learning Model for Forecasting Internal Wave Propagation in the Andaman Sea 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 3095-3106
作者:  Zhang, Xudong;  Li, Xiaofeng;  Zheng, Quanan
Adobe PDF(6735Kb)  |  收藏  |  浏览/下载：234/0  |  提交时间：2021/05/11
Predictive models  Training  Satellites  Machine learning  Oceans  MODIS  Data models  Andaman sea  internal wave (IW) forecast  machine learning  
Deep-learning-based information mining from ocean remote-sensing imagery 期刊论文
NATIONAL SCIENCE REVIEW, 2020, 卷号: 7, 期号: 10, 页码: 1584-1605
作者:  Li, Xiaofeng;  Liu, Bin;  Zheng, Gang;  Ren, Yibin;  Zhang, Shuangshang;  Liu, Yingjie;  Gao, Le;  Liu, Yuhai;  Zhang, Bin;  Wang, Fan
Adobe PDF(7492Kb)  |  收藏  |  浏览/下载：207/0  |  提交时间：2021/04/12
ocean remote sensing  big data  artificial intelligence  image classification