Chinese | English

Search in the results

IOCAS-IR

Browse/Search Results:  1-10 of 22 Help

Selected(0)Clear Items/Page:    Sort:
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
Authors:  Zhang, Xudong;  Wang, Haoyu;  Wang, Shuo;  Liu, Yanliang;  Yu, Weidong;  Wang, Jing;  Xu, Qing;  Li, Xiaofeng
Adobe PDF(12620Kb)  |  Favorite  |  View/Download：31/0  |  Submit date：2022/04/12
Internal wave  Amplitude  Transfer learning  Remote sensing  In-situ measurement  Laboratory experiment  
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
Authors:  Wang, Haining;  Fu, Xiaoxue;  Zhao, Chengqian;  Luan, Zhendong;  Li, Chaolun
Adobe PDF(3853Kb)  |  Favorite  |  View/Download：28/0  |  Submit date：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
Authors:  Liu, Yingjie;  Zheng, Quanan;  Li, Xiaofeng
Adobe PDF(1562Kb)  |  Favorite  |  View/Download：20/0  |  Submit date：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
Authors:  Wang, Haoyu;  Song, Tingqiang;  Zhu, Shanliang;  Yang, Shuguo;  Feng, Liqiang
Adobe PDF(4325Kb)  |  Favorite  |  View/Download：41/0  |  Submit date：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
Authors:  Wang, He;  Yang, Jingsong;  Zhu, Jianhua;  Ren, Lin;  Liu, Yahao;  Li, Weiwei;  Chen, Chuntao
Adobe PDF(5257Kb)  |  Favorite  |  View/Download：54/1  |  Submit date：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
Authors:  Zhang, Xudong;  Li, Xiaofeng;  Zheng, Quanan
Adobe PDF(6735Kb)  |  Favorite  |  View/Download：49/0  |  Submit date：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
Authors:  Li, Xiaofeng;  Liu, Bin;  Zheng, Gang;  Ren, Yibin;  Zhang, Shuangshang;  Liu, Yingjie;  Gao, Le;  Liu, Yuhai;  Zhang, Bin;  Wang, Fan
Adobe PDF(7492Kb)  |  Favorite  |  View/Download：75/0  |  Submit date：2021/04/12
ocean remote sensing  big data  artificial intelligence  image classification  
Purely satellite data-driven deep learning forecast of complicated tropical instability waves 期刊论文
SCIENCE ADVANCES, 2020, 卷号: 6, 期号: 29, 页码: 9
Authors:  Zheng, Gang;  Li, Xiaofeng;  Zhang, Rong-Hua;  Liu, Bin
Adobe PDF(7758Kb)  |  Favorite  |  View/Download：46/0  |  Submit date：2020/09/25
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
Authors:  Song, Dongmei;  Zhen, Zongjin;  Wang, Bin;  Li, Xiaofeng;  Gao, Le;  Wang, Ning;  Xie, Tao;  Zhang, Ting
Adobe PDF(5827Kb)  |  Favorite  |  View/Download：46/0  |  Submit date：2020/09/23
Marine oil spill  RADARSAT-2  PolSAR  deep learning  feature extraction  convolutional neural network (CNN)  
A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27
Authors:  Zhang, Yang;  Cheng, Tao;  Ren, Yibin;  Xie, Kun
Adobe PDF(4145Kb)  |  Favorite  |  View/Download：150/0  |  Submit date：2020/03/20
Short-term traffic forecasting  spatial-temporal dependency  network topology  graph convolution  residual long short-term memory