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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Detalles Bibliográficos
Autores principales: Mendoza, Merlin M., Chang, Yu-Chi, Dmitriev, Alexei V., Lin, Chia-Hsien, Tsai, Lung-Chih, Li, Yung-Hui, Hsieh, Mon-Chai, Hsu, Hao-Wei, Huang, Guan-Han, Lin, Yu-Ciang, Tsogtbaatar, Enkhtuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512826/
https://www.ncbi.nlm.nih.gov/pubmed/34640800
http://dx.doi.org/10.3390/s21196482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512826/
https://www.ncbi.nlm.nih.gov/pubmed/34640800
http://dx.doi.org/10.3390/s21196482

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