Recovery of Ionospheric Signals Using Fully Convolutional DenseNet and Its Challenges

The technique of active ionospheric sounding by ionosondes requires sophisticated methods for the recovery of experimental data on ionograms. In this work, we applied an advanced algorithm of deep learning for the identification and classification of signals from different ionospheric layers. We col...

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Bibliografiske detaljer

Principais autores:	Merlin M. Mendoza, Yu-Chi Chang, Alexei V. Dmitriev, Chia-Hsien Lin, Lung-Chih Tsai, Yung-Hui Li, Mon-Chai Hsieh, Hao-Wei Hsu, Guan-Han Huang, Yu-Ciang Lin, Enkhtuya Tsogtbaatar
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-09-01
Serier:	Sensors
Fag:	ionospheric sounding space weather artificial intelligence fully convolutional DenseNet
Online adgang:	https://www.mdpi.com/1424-8220/21/19/6482
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