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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：27/0  |  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：70/0  |  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：24/0  |  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