Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN

Published:2023-01 Issue:1 Volume:21 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Chen Zhou¹²^ORCID,Zhou Kecheng¹²,Li Haimeng¹²^ORCID,Wang Jing‐song³,Ouyang Zhihai¹²,Deng Xiaohua¹²

Affiliation:

1. School of Information Engineering Nanchang University Nanchang China

2. Institute of Space Science and Technology Nanchang University Nanchang China

3. Key Laboratory of Space Weather National Center for Space Weather China Meteorological Administration Beijing China

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022SW003341

Reference30 articles.

1. A New Frontier in Ionospheric Observations: GPS Total Electron Content Measurements From Ocean Buoys

2. On the TEC bias of altimeter satellites

3. TOPEX: Observing the oceans from space

4. The Application of a Deep Convolutional Generative Adversarial Network on Completing Global TEC Maps

5. Improvement of a Deep Learning Algorithm for Total Electron Content Maps: Image Completion

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Calibration of Swarm Plasma Densities Overestimation Using Neural Networks;Space Weather;2024-08

2. An Index Description of the General Characteristics of Thermospheric Density Based on the Two‐Line‐Element Data Sets and the Spectral Whitening Method;Journal of Geophysical Research: Space Physics;2024-06

3. Forecasting 24‐Hr Total Electron Content With Long Short‐Term Memory Neural Network;Journal of Geophysical Research: Machine Learning and Computation;2024-05-16

4. Refined Short‐Term Forecasting Atmospheric Temperature Profiles in the Stratosphere Based on Operators Learning of Neural Networks;Earth and Space Science;2024-04

5. Storm‐Time Characteristics of Ionospheric Model (MSAP) Based on Multi‐Algorithm Fusion;Space Weather;2024-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3