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Reconstructing 3-D Thermohaline Structures for Mesoscale Eddies Using Satellite Observations and Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 16
作者:  Liu, Yingjie;  Wang, Haoyu;  Jiang, Fei;  Zhou, Yuan;  Li, Xiaofeng
收藏  |  浏览/下载：34/0  |  提交时间：2024/06/04
Deep learning (DL)  mesoscale eddies  prior knowledge-embedded  reconstruction of 3-D thermohaline structure  
DeepSeaNet: A Bio-Detection Network Enabling Species Identification in the Deep Sea Imagery 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 13
作者:  Liu, Aiyue;  Liu, Yuhai;  Xu, Kuidong;  Zhao, Feng;  Zhou, Yuan;  Li, Xiaofeng
Adobe PDF(2856Kb)  |  收藏  |  浏览/下载：47/1  |  提交时间：2024/06/04
Data augmentation  deep-sea remotely operated vehicle (ROV) data  new species indication  real-time object detection network  seamount fine-grained dataset  
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：32/0  |  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  
Recovering Gravity from Satellite Altimetry Data Using Deep Learning Network 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 11
作者:  Zhu, Chengcheng;  Yang, Lei;  Bian, Hongwei;  Li, Houpu;  Guo, Jinyun;  Liu, Na;  Lin, Lina
收藏  |  浏览/下载：149/0  |  提交时间：2023/12/13
Gravity  Deep learning  Sea measurements  Satellites  Underwater vehicles  Training  Data models  gravity anomaly  multichannel convolutional neural network (MCCNN)  satellite altimetry  Index Terms  submarine topography  
Exploiting Frequency-Domain Information of GNSS Reflectometry for Sea Surface Wind Speed Retrieval 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:  Chen, Keran;  Zhou, Yuan;  Li, Shuoshi;  Wang, Ping;  Li, Xiaofeng
收藏  |  浏览/下载：96/0  |  提交时间：2023/12/13
Cyclone global navigation satellite system (CyGNSS)  deep learning  frequency domain  global navigation satellite system reflectometry (GNSS-R)  wind speed retrieval  
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：208/0  |  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  
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：201/0  |  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  
The Fusion of Physical, Textural, and Morphological Information in SAR Imagery for Hurricane Wind Speed Retrieval Based on Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:  Mu, Shanshan;  Li, Xiaofeng;  Wang, Haoyu
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：254/0  |  提交时间：2022/07/18
Hurricanes  Synthetic aperture radar  Wind speed  Radar polarimetry  Sea surface  Sea measurements  Data models  Deep learning  hurricane wind  synthetic aperture radar (SAR)  
Joint Frequency-Spatial Domain Network for Remote Sensing Optical Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:  Zhou, Yuan;  Feng, Yanjie;  Huo, Shuwei;  Li, Xiaofeng
收藏  |  浏览/下载：203/0  |  提交时间：2022/12/09
Feature extraction  Frequency-domain analysis  Remote sensing  Optical sensors  Optical imaging  Frequency domain analysis  Optical fiber networks  Change detection  deep learning  frequency domain  neural network  optical image  
Dual-Branch Neural Network for Sea Fog Detection in Geostationary Ocean Color Imager 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:  Zhou, Yuan;  Chen, Keran;  Li, Xiaofeng
收藏  |  浏览/下载：185/0  |  提交时间：2022/12/09
Satellites  Oceans  Remote sensing  Feature extraction  Deep learning  Color  Annotations  Deep learning  satellite imagery  sea fog detection  semantic segmentation