| Issue |
E3S Web Conf.
Volume 196, 2020
XI International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 5 | |
| Section | Physics of Earthquake Precursors | |
| DOI | https://doi.org/10.1051/e3sconf/202019603002 | |
| Published online | 16 October 2020 | |
Applying general markup knowledge to analyze ionograms of various ionosondes
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: v mochalov@ikir.ru
In order to improve the quality of recognition of ionograms, the use of general knowledge about the reference marking of ionograms at various points of installation of ionosondes of the same type is considered. On the basis of reference markings from two ionosondes, deep neural networks were trained to highlight reflection traces from different layers of the ionosphere. The resulting deep neural networks have been successfully applied to recognize ionograms of another type of ionosonde. The results of recognition are presented.
© The Authors, published by EDP Sciences, 2020
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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