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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：138/0  |  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  
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：194/0  |  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  
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：207/0  |  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)  
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：192/0  |  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)  
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：135/0  |  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