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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：25/0  |  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  
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：54/0  |  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  
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：209/0  |  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)  
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：91/0  |  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  
Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2021, 卷号: 48, 期号: 17, 页码: 11
作者:  Liu, Yingjie;  Zheng, Quanan;  Li, Xiaofeng
Adobe PDF(1562Kb)  |  收藏  |  浏览/下载：147/0  |  提交时间：2021/11/30
meososcale eddies  abnormal eddies  multi-source remote sensing data  deep learning  data fusion  statistical analysis of spatiotemporal characteristics