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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：240/0  |  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 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：164/0  |  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  
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：216/0  |  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  
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：236/0  |  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)  
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：212/0  |  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)