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Comprehensive Satellite Observations and a Numerical Study of a Wintertime Shallow Sea Smoke Event in the Yellow Sea 期刊论文
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2022, 卷号: 79, 期号: 12, 页码: 3163-3179
作者:  Li, Xiaofeng;  Shen, Dongliang;  Zheng, Gang;  Zhou, Lizhang;  Liu, Aiyue
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/13
Atmosphere-ocean interaction  Fog  Marine boundary layer  
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：164/0  |  提交时间：2022/04/12
synthetic aperture radar  tidal flat  deep learning  waterline  DEM  
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：201/0  |  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)  
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：180/0  |  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  
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：87/0  |  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  
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：119/0  |  提交时间：2022/04/12
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：127/0  |  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  
Effect of random phase error and baseline roll angle error on eddy identification by interferometric imaging altimeter 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 8
作者:  Gao, Le;  Sun, Hanwei;  Qi, Jifeng;  Jiang, Qiufu
Adobe PDF(2219Kb)  |  收藏  |  浏览/下载：216/0  |  提交时间：2021/05/26
interferometric altimetry  baseline error  random error  ocean eddy  theoretical and systematic simulation  error removal strategy  
Dynamical Ocean Responses to Typhoon Malakas (2016) in the Vicinity of Taiwan 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2021, 卷号: 126, 期号: 2, 页码: 21
作者:  Shen, Dongliang;  Li, Xiaofeng;  Wang, Jia;  Bao, Shaowu;  Pietrafesa, Leonard J.
Adobe PDF(24639Kb)  |  收藏  |  浏览/下载：217/0  |  提交时间：2021/04/21
Deep-learning-based information mining from ocean remote-sensing imagery 期刊论文
NATIONAL SCIENCE REVIEW, 2020, 卷号: 7, 期号: 10, 页码: 1584-1605
作者:  Li, Xiaofeng;  Liu, Bin;  Zheng, Gang;  Ren, Yibin;  Zhang, Shuangshang;  Liu, Yingjie;  Gao, Le;  Liu, Yuhai;  Zhang, Bin;  Wang, Fan
Adobe PDF(7492Kb)  |  收藏  |  浏览/下载：216/0  |  提交时间：2021/04/12
ocean remote sensing  big data  artificial intelligence  image classification