GNSS TEC-Based Earthquake Ionospheric Perturbation Detection Using a Novel Deep Learning Framework

GNSS TEC-Based Earthquake Ionospheric Perturbation Detection Using a Novel Deep Learning Framework

In this article, a new method for seismic ionospheric Global Navigation Satellite System (GNSS) total electron content (TEC) based anomaly detection using a deep learning framework is proposed. The performance of the proposed encoder–decoder long short-term memory extended model is compar...

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Bibliographic Details
Main Authors: Pan Xiong, Cheng Long, Huiyu Zhou, Xuemin Zhang, Xuhui Shen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anomaly detection
deep learning
earthquake
ionospheric perturbation
time series prediction
Online Access:https://ieeexplore.ieee.org/document/9779580/

Internet

https://ieeexplore.ieee.org/document/9779580/

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