中文版 | English

在结果中检索

IOCAS-IR

浏览/检索结果: 共12条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 308, 页码: 19
作者:  Huang, Yan;  Ren, Yibin;  Li, Xiaofeng
收藏  |  浏览/下载：47/0  |  提交时间：2024/08/29
Synthetic aperture radar (SAR)  Sea ice classification  Deep learning  Beaufort sea  
Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model 期刊论文
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;  Li, Cuihua;  Li, Xiaofeng
收藏  |  浏览/下载：99/0  |  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
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;  Li, Cuihua;  Li, Xiaofeng
收藏  |  浏览/下载：187/0  |  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
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：54/0  |  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  
AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery 期刊论文
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;  Ren, Yibin
Adobe PDF(8280Kb)  |  收藏  |  浏览/下载：272/0  |  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
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 19
作者:  Ren, Yibin;  Li, Xiaofeng;  Zhang, Wenhao
Adobe PDF(22032Kb)  |  收藏  |  浏览/下载：235/0  |  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  
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：246/0  |  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：298/0  |  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  
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：323/0  |  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
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27
作者:  Zhang, Yang;  Cheng, Tao;  Ren, Yibin;  Xie, Kun
Adobe PDF(4145Kb)  |  收藏  |  浏览/下载：421/0  |  提交时间：2020/03/20
Short-term traffic forecasting  spatial-temporal dependency  network topology  graph convolution  residual long short-term memory