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Constrained Iterative Adaptive Algorithm for the Detection and Localization of RFI Sources Based on the SMAP L-Band Microwave Radiometer 期刊论文
remote sensing, 2024, 卷号: 16, 期号: 10, 页码: 1791
作者:  Wang, Xinxin;  Wang, Xiang;  Wang, Lin;  Fan, Jianchao;  Wei, Enbo
Adobe PDF(9092Kb)  |  收藏  |  浏览/下载：15/2  |  提交时间：2024/06/12
passive microwave remote sensing  polarization detection  radio frequency interference  L-band microwave radiometer  Stokes parameter  localization  
DeepSeaNet: A Bio-Detection Network Enabling Species Identification in the Deep Sea Imagery 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 13
作者:  Liu, Aiyue;  Liu, Yuhai;  Xu, Kuidong;  Zhao, Feng;  Zhou, Yuan;  Li, Xiaofeng
Adobe PDF(2856Kb)  |  收藏  |  浏览/下载：23/1  |  提交时间：2024/06/04
Data augmentation  deep-sea remotely operated vehicle (ROV) data  new species indication  real-time object detection network  seamount fine-grained dataset  
DeepBlue: Advanced convolutional neural network applications for ocean remote sensing 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2023, 页码: 24
作者:  Wang, Haoyu;  Li, Xiaofeng
Adobe PDF(4818Kb)  |  收藏  |  浏览/下载：7/0  |  提交时间：2024/04/07
Analysis of compound floods from storm surge and extreme precipitation in China 期刊论文
JOURNAL OF HYDROLOGY, 2023, 卷号: 627, 页码: 13
作者:  Feng, Jianlong;  Li, Delei;  Li, Yanxiao;  Zhao, Liang
Adobe PDF(5769Kb)  |  收藏  |  浏览/下载：19/0  |  提交时间：2024/04/07
Compound flood  Storm surge  Extreme precipitation  China  
Developing a Data-Driven Transfer Learning Model to Locate Tropical Cyclone Centers on Satellite Infrared Imagery 期刊论文
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2023, 卷号: 40, 期号: 12, 页码: 1417-1430
作者:  Wang, Chong;  Li, Xiaofeng
Adobe PDF(40204Kb)  |  收藏  |  浏览/下载：19/0  |  提交时间：2024/04/07
Tropical cyclones  Remote sensing  Deep learning  
Distinct Variability between Semidiurnal and Diurnal Internal Tides at the East China Sea Shelf 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 11, 页码: 20
作者:  Wang, Weidong;  Robertson, Robin;  Wang, Yang;  Zhao, Chen;  Hao, Zhanjiu;  Yin, Baoshu;  Xu, Zhenhua
Adobe PDF(6447Kb)  |  收藏  |  浏览/下载：162/0  |  提交时间：2022/07/18
internal tides  spatiotemporal variation  East China Sea  modal structure  energy cascade  
Variations and Environmental Controls of Primary Productivity in the Amundsen Sea 期刊论文
FRONTIERS IN MARINE SCIENCE, 2022, 卷号: 9, 页码: 15
作者:  Feng, Jianlong;  Li, Delei;  Zhang, Jing;  Zhao, Liang
Adobe PDF(5754Kb)  |  收藏  |  浏览/下载：172/0  |  提交时间：2022/07/18
Amundsen Sea  primary productivity  bioregions  dissolved iron  climate change  
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：241/0  |  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  
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：237/0  |  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)  
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：174/0  |  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