机构

• 海洋研究所 [11]

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [11]

发表日期

• 2023 [3]
• 2022 [4]
• 2020 [1]
• 2019 [3]

学科主题

筛选

浏览/检索结果: 共11条，第1-10条 帮助 限定条件 专题：海洋研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model 期刊论文  OAI收割 GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 17, 页码: 10 作者:  Wang, Yunhe;  Yuan, Xiaojun;  Ren, Yibin;  Bushuk, Mitchell;  Shu, Qi   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/13 Antarctic  sea ice prediction   Understanding Arctic Sea Ice Thickness Predictability by a Markov Model 期刊论文  OAI收割 JOURNAL OF CLIMATE, 2023, 卷号: 36, 期号: 15, 页码: 4879-4897 作者:  Wang, Yunhe;  Yuan, Xiaojun;  Bi, Haibo;  Ren, Yibin;  Liang, Yu   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/12/13 Arctic  Sea ice  Climate prediction  Ice thickness   Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15 作者:  Ren, Yibin;  Li, Xiaofeng   |  收藏  |  浏览/下载：3/0  |  提交时间：2023/12/13 Predictive models  Atmospheric modeling  Sea ice  Numerical models  Arctic  Ocean temperature  Data models  Deep learning  Pan-Arctic  physically constrained loss function  sea ice concentration (SIC) prediction  subseasonal scale   A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14 作者:  Ren, Yibin;  Li, Xiaofeng;  Xu, Huan   |  收藏  |  浏览/下载：24/0  |  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  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5 作者:  Ren, Yibin;  Li, Xiaofeng;  Yang, Xiaofeng;  Xu, Huan   |  收藏  |  浏览/下载：31/0  |  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   AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：34/0  |  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   A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 19 作者:  Ren, Yibin;  Li, Xiaofeng;  Zhang, Wenhao   |  收藏  |  浏览/下载：15/0  |  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   Deep-learning-based information mining from ocean remote-sensing imagery 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/04/12 ocean remote sensing  big data  artificial intelligence  image classification   A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 页码: 27 作者:  Zhang, Yang;  Cheng, Tao;  Ren, Yibin;  Xie, Kun   |  收藏  |  浏览/下载：52/0  |  提交时间：2020/03/20 Short-term traffic forecasting  spatial-temporal dependency  network topology  graph convolution  residual long short-term memory   Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 9, 页码: 24 作者:  Han, Yong;  Wang, Cheng;  Ren, Yibin;  Wang, Shukang;  Zheng, Huangcheng   |  收藏  |  浏览/下载：79/0  |  提交时间：2020/01/03 passenger flow  short-term prediction  long short-term memory network  hybrid optimization algorithm