State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere

Recovering and distinguishing different ionospheric layers and signals usually requires slow and complicated procedures. In this work, we construct and train five convolutional neural network (CNN) models: DeepLab, fully convolutional DenseNet24 (FC-DenseNet24), deep watershed transform (DWT), Mask...

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Detalles Bibliográficos
Autores principales: Chang, Yu-Chi, Lin, Chia-Hsien, Dmitriev, Alexei V., Hsieh, Mon-Chai, Hsu, Hao-Wei, Lin, Yu-Ciang, Mendoza, Merlin M., Huang, Guan-Han, Tsai, Lung-Chih, Li, Yung-Hui, Tsogtbaatar, Enkhtuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002747/
https://www.ncbi.nlm.nih.gov/pubmed/35408372
http://dx.doi.org/10.3390/s22072758

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002747/
https://www.ncbi.nlm.nih.gov/pubmed/35408372
http://dx.doi.org/10.3390/s22072758

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