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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
Modeling the long-term transport and fate of oil spilled from the 2021 A Symphony tanker collision in the Yellow Sea, China: Reliability of the stochastic simulation 期刊论文
OCEAN MODELLING, 2023, 卷号: 186, 页码: 14
作者:  Cao, Ruichen;  Rong, Zengrui;  Chen, Haibo;  Liu, Yi;  Mu, Lin;  Lv, Xianqing
Adobe PDF(10180Kb)  |  收藏  |  浏览/下载:13/0  |  提交时间:2024/04/07
A Symphony oil spill  Pollution probability  Stochastic simulation  Uncertainty analysis  
Impact of oil-sediment interaction on transport of underwater spilled oil in the Bohai Sea 期刊论文
OCEAN ENGINEERING, 2022, 卷号: 247, 页码: 12
作者:  Li, Yongquan;  Cao, Ruichen;  Chen, Haibo;  Mu, Lin;  Lv, Xianqing
Adobe PDF(7025Kb)  |  收藏  |  浏览/下载:170/0  |  提交时间:2022/07/18
Underwater oil spill  Oil-sediment interaction  Oil-sediment aggregation  Numerical simulation  Environmental damage assessment  
Effect of subsea dispersant application on deepwater oil spill in the South China Sea 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 页码: 19
作者:  Chen, Haibo
Adobe PDF(3020Kb)  |  收藏  |  浏览/下载:165/0  |  提交时间:2022/04/12
underwater oil spill  numerical simulation  chemical dispersants  South China Sea  contingency planning  
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:186/0  |  提交时间:2022/04/12
synthetic aperture radar  tidal flat  deep learning  waterline  DEM  
Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhou, Lizhang;  Zheng, Gang;  Yang, Jingsong;  Li, Xiaofeng;  Zhang, Bin;  Wang, He;  Chen, Peng;  Wang, Yan
Adobe PDF(27025Kb)  |  收藏  |  浏览/下载:229/0  |  提交时间:2022/02/18
Radar polarimetry  Sea surface  Oceanography  Atmospheric modeling  Surface waves  Atmospheric waves  Wind speed  Entropy  gray-level cooccurrence matrix (GLCM)  synthetic aperture radar (SAR)  sea surface wind speed (SSWS)  textures  
Impact of ocean waves on transport of underwater spilled oil in the Bohai Sea 期刊论文
MARINE POLLUTION BULLETIN, 2021, 卷号: 171, 页码: 15
作者:  Cao, Ruichen;  Chen, Haibo;  Rong, Zengrui;  Lv, Xianqing
Adobe PDF(11277Kb)  |  收藏  |  浏览/下载:203/0  |  提交时间:2021/12/01
Underwater oil spill  Ocean waves  Numerical simulation  Oil entrainment parameterization  Ocean waves errors  Environmental damage assessment  
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:281/0  |  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:241/0  |  提交时间:2021/04/12
ocean remote sensing  big data  artificial intelligence  image classification  
A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 59801-59820
作者:  Song, Dongmei;  Zhen, Zongjin;  Wang, Bin;  Li, Xiaofeng;  Gao, Le;  Wang, Ning;  Xie, Tao;  Zhang, Ting
Adobe PDF(5827Kb)  |  收藏  |  浏览/下载:216/0  |  提交时间:2020/09/23
Marine oil spill  RADARSAT-2  PolSAR  deep learning  feature extraction  convolutional neural network (CNN)