Deep Learning Application for Classification of Ionospheric Height Profiles Measured by Radio Occultation Technique

Deep Learning Application for Classification of Ionospheric Height Profiles Measured by Radio Occultation Technique

Modern space missions provide a great number of height profiles of ionospheric electron density, measured by the remote sensing technique of radio occultation (RO). The deducing of the profiles from the RO measurements suffers from bias, resulting in negative values of the electron density. We devel...

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Bibliographic Details
Main Authors: Mon-Chai Hsieh, Guan-Han Huang, Alexei V. Dmitriev, Chia-Hsien Lin
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
radio occultation
ionospheric layers
machine learning
convolutional neural networks
Online Access:https://www.mdpi.com/2072-4292/14/18/4521

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https://www.mdpi.com/2072-4292/14/18/4521

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