Ionospheric Refined Mapping Function Construction Based on LSTM-Reference-Cited by-同舟云学术

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Ionospheric Refined Mapping Function Construction Based on LSTM

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Yang¹,Qin Yuxin¹^ORCID,Kong Jian²^ORCID,Yao Yibin³^ORCID,Gao Xin¹^ORCID

Affiliation:

1. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

2. Chinese Antarctic Center of Surveying and Mapping and the Luojia Laboratory, Wuhan University, Wuhan, China

3. School of Geodesy and Geomatics and the Luojia Laboratory, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Open Fund of Hubei Luojia Laboratory

General Fund Project of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10339339.pdf?arnumber=10339339

Reference33 articles.

1. Ionospheric Total Electron Content Estimation Using GNSS Carrier Phase Observations Based on Zero-Difference Integer Ambiguity: Methodology and Assessment

2. Global prediction of the vertical total electron content of the ionosphere based on GPS data

3. Modeling and analysis of an ionospheric mapping function considering azimuth angle: A preliminary result

4. Adaptive Modeling of the Global Ionosphere Vertical Total Electron Content

5. Spherical cap harmonic model for mapping and predicting regional TEC

Cited by 2 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. A New Global ZTD Forecast Model Based on Improved LSTM Neural Network;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Prediction of Ionospheric Electron Density Distribution Based on CNN-LSTM Model;IEEE Geoscience and Remote Sensing Letters;2024

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