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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：55/0  |  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：80/1  |  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  
Retrieval of Ocean Wave Characteristics via Single-Frequency Time-Differenced Carrier Phases From GNSS Buoys 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 12
作者:  Yang, Lei;  Xu, Yongsheng;  Jiang, Yingming;  Mertikas, Stelios P.;  Wang, Zhiyong;  Zhu, Lin;  Liu, Na;  Lin, Lina
收藏  |  浏览/下载：5/0  |  提交时间：2024/08/29
Global Navigation Satellite System (GNSS) buoy  ocean wave  significant wave height (SWH)  time-differenced carrier phases (TDCPs)  
Exponential Approximate Invariance: Mapping the Depth to Basement From Gravity Anomalies 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 12
作者:  Wang, Dingding;  Wang, Wanyin;  Fedi, Maurizio;  Florio, Giovanni
收藏  |  浏览/下载：0/0  |  提交时间：2024/09/02
Gravity  Geoscience and remote sensing  Computational modeling  Taylor series  TV  Surveys  Surface treatment  Basement depth  exponential approximate invariance (EAI)  free parameters  gravity anomalies  
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：40/0  |  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：175/0  |  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：119/0  |  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  
Hyperspectral Band Selection With Iterative Graph Autoencoder 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:  Zhou, Yuan;  Yao, Qingren;  Huo, Shuwei;  Li, Xiaofeng
收藏  |  浏览/下载：68/0  |  提交时间：2023/12/07
Feature extraction  Iterative methods  Symmetric matrices  Hyperspectral imaging  Convolution  Correlation  Task analysis  Graph autoencoder (GAE)  graph representation  hyperspectral band selection (BS)  representativeness  
Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhou, Lizhang;  Zheng, Gang;  Yang, Jingsong;  Li, Xiaofeng;  Zhang, Bin;  Wang, He;  Chen, Peng;  Wang, Yan
Adobe PDF(27025Kb)  |  收藏  |  浏览/下载：289/0  |  提交时间：2022/02/18
Radar polarimetry  Sea surface  Oceanography  Atmospheric modeling  Surface waves  Atmospheric waves  Wind speed  Entropy  gray-level cooccurrence matrix (GLCM)  synthetic aperture radar (SAR)  sea surface wind speed (SSWS)  textures  
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：231/0  |  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