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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
作者:  Zhang, Xudong;  Wang, Haoyu;  Wang, Shuo;  Liu, Yanliang;  Yu, Weidong;  Wang, Jing;  Xu, Qing;  Li, Xiaofeng
Adobe PDF(12620Kb)  |  收藏  |  浏览/下载：319/0  |  提交时间：2022/04/12
Internal wave  Amplitude  Transfer learning  Remote sensing  In-situ measurement  Laboratory experiment  
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  
Multilayer Fusion Recurrent Neural Network for Sea Surface Height Anomaly Field Prediction 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhou, Yuan;  Lu, Chang;  Chen, Keran;  Li, Xiaofeng
Adobe PDF(5381Kb)  |  收藏  |  浏览/下载：284/0  |  提交时间：2022/04/12
Computer architecture  Microprocessors  Predictive models  Mathematical models  Sea surface  Data models  Satellites  Deep learning (DL)  field prediction  satellite remote sensing data  sea surface height anomaly (SSHA)  
Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhang, Guosheng;  Xu, Chao;  Li, Xiaofeng;  Zhu, Ziqiang;  Perrie, William
Adobe PDF(15629Kb)  |  收藏  |  浏览/下载：397/0  |  提交时间：2022/04/12
Sea surface  Wind speed  Sea measurements  Microwave radiometry  Hurricanes  Oceans  Synthetic aperture radar  Hurricane center detection  hurricane intensity  radius of maximum wind (RMW)  Soil Moisture Active Passive (SMAP) ocean winds  
Environment Monitoring of Shanghai Nanhui Intertidal Zone With Dual-Polarimetric SAR Data Based on Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 18
作者:  Liu, Guangyang;  Liu, Bin;  Zheng, Gang;  Li, Xiaofeng
收藏  |  浏览/下载：173/0  |  提交时间：2023/01/12
Deep convolutional neural networks (DCNNs)  deep learning  environment monitoring  intertidal zone  MB-U-2-ACNet  synthetic aperture radar (SAR) imagery  
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  
Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Wang, Chong;  Zheng, Gang;  Li, Xiaofeng;  Xu, Qing;  Liu, Bin;  Zhang, Jun
Adobe PDF(4821Kb)  |  收藏  |  浏览/下载：294/0  |  提交时间：2022/02/18
Estimation  Ocean temperature  Clouds  Tropical cyclones  Cyclones  Training  Geostationary satellites  Convolutional neural network (CNN)  deep learning  remote sensing  tropical cyclone (TC)  
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  
Tropical Cyclone Winds and Inflow Angle Asymmetry From SAR Imagery 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2021, 卷号: 48, 期号: 20, 页码: 9
作者:  Zhang, Guosheng;  Li, Xiaofeng;  Perrie, William;  Zhang, Jun A.
收藏  |  浏览/下载：201/0  |  提交时间：2022/04/12
Underwater Image Enhancement via Physical-Feedback Adversarial Transfer Learning 期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2021, 页码: 12
作者:  Zhou, Yuan;  Yan, Kangming;  Li, Xiaofeng
Adobe PDF(8751Kb)  |  收藏  |  浏览/下载：216/0  |  提交时间：2022/02/18
Degradation  Adaptation models  Image restoration  Image color analysis  Image enhancement  Convolutional neural networks  Data models  Degradation model  domain adaptation  generative adversarial networks  underwater image enhancement