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Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 17, 页码: 10
作者:  Wang, Yunhe;  Yuan, Xiaojun;  Ren, Yibin;  Bushuk, Mitchell;  Shu, Qi;  Li, Cuihua;  Li, Xiaofeng
收藏  |  浏览/下载:21/0  |  提交时间:2023/12/13
Antarctic  sea ice prediction  
Automatic Waterline Extraction and Topographic Mapping of Tidal Flats From SAR Images Based on Deep Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2022, 卷号: 49, 期号: 2, 页码: 13
作者:  Zhang, Shuangshang;  Xu, Qing;  Wang, Haoyu;  Kang, Yanyan;  Li, Xiaofeng
Adobe PDF(5243Kb)  |  收藏  |  浏览/下载:165/0  |  提交时间:2022/04/12
synthetic aperture radar  tidal flat  deep learning  waterline  DEM  
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:120/0  |  提交时间:2022/04/12
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:146/0  |  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