| Issue |
E3S Web Conf.
Volume 127, 2019
X Anniversary International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 8 | |
| Section | Atmosphere Physics and Solar-Terrestrial Relations | |
| DOI | https://doi.org/10.1051/e3sconf/201912701004 | |
| Published online | 05 November 2019 | |
Extraction of ionosphere parameters in ionograms using deep learning
Institute of Cosmophysical Research and Radio Wave Propagation of the Far Eastern Branch of Russian Academy of Science, 684034, Kamchatskiy kray, Paratunka, Mirnaya str. 7, Russia
* Corresponding author: vmochalov@ikir.ru
Based on a new developed author’s method for recognition traces of reflections from different layers of the ionosphere in ionograms, the ionosphere parameters are extracted. The method is based on the use of deep neural networks (DNN). The rules for extracting the ionosphere parameters in ionograms are given. Based on the results obtained by the authors, an intelligent support system for ionogram analysis is being developed.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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