Statistical Analysis of Medium‐Scale Traveling Ionospheric Disturbances Over Japan Based on Deep Learning Instance Segmentation

Statistical Analysis of Medium‐Scale Traveling Ionospheric Disturbances Over Japan Based on Deep Learning Instance Segmentation

Abstract Medium‐scale traveling ionospheric disturbances (MSTIDs) are observed as parallelly arrayed wavelike perturbations of Total Electron Content (TEC) in ionospheric F region leading to satellite navigation error and communication signal scintillation. The observation method for MSTIDs, detrend...

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Bibliographic Details
Main Authors: Peng Liu, Tatsuhiro Yokoyama, Weizheng Fu, Mamoru Yamamoto
Format: Article
Language:English
Published: Wiley 2022-07-01
Series:Space Weather
Subjects:
MSTID
ionospheric irregularity
wavelike perturbation
statistical analysis
deep learning
instance segmentation
Online Access:https://doi.org/10.1029/2022SW003151
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https://doi.org/10.1029/2022SW003151

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