Recovery of Ionospheric Signals Using Fully Convolutional DenseNet and Its Challenges

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...

Full description

Bibliographic Details
Main Authors: 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: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
ionospheric sounding
space weather
artificial intelligence
fully convolutional DenseNet
Online Access:https://www.mdpi.com/1424-8220/21/19/6482

Internet

https://www.mdpi.com/1424-8220/21/19/6482

Similar Items