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A Deep Learning Model to Recognize and Quantitatively Analyze Cold Seep Substrates and the Dominant Associated Species 期刊论文
FRONTIERS IN MARINE SCIENCE, 2021, 卷号: 8, 页码: 11
作者:  Wang, Haining;  Fu, Xiaoxue;  Zhao, Chengqian;  Luan, Zhendong;  Li, Chaolun
Adobe PDF(3853Kb)  |  收藏  |  浏览/下载：179/0  |  提交时间：2022/02/18
cold seep  substrates  epifauna  Faster R-CNN  FPN  VGG16  
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：146/0  |  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  
Subsurface Temperature Estimation from Sea Surface Data Using Neural Network Models in the Western Pacific Ocean 期刊论文
MATHEMATICS, 2021, 卷号: 9, 期号: 8, 页码: 14
作者:  Wang, Haoyu;  Song, Tingqiang;  Zhu, Shanliang;  Yang, Shuguo;  Feng, Liqiang
Adobe PDF(4325Kb)  |  收藏  |  浏览/下载：153/0  |  提交时间：2021/06/24
ocean subsurface temperature  multisource sea surface data  neural network model  western Pacific Ocean  
Estimation of Significant Wave Heights from ASCAT Scatterometer Data via Deep Learning Network 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 18
作者:  Wang, He;  Yang, Jingsong;  Zhu, Jianhua;  Ren, Lin;  Liu, Yahao;  Li, Weiwei;  Chen, Chuntao
Adobe PDF(5257Kb)  |  收藏  |  浏览/下载：205/1  |  提交时间：2021/04/21
Advanced Scatterometer (ASCAT)  significant wave height  WaveWatch III  deep learning  multi-hidden-layer neural network  
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：248/0  |  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