Applying general markup knowledge to analyze ionograms of various ionosondes
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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/56/e3sconf_strpep2020_03002.pdf |
| _version_ | 1819064505590611968 |
|---|---|
| author | Mochalov Vladimir Mochalova Anastasia |
| author_facet | Mochalov Vladimir Mochalova Anastasia |
| author_sort | Mochalov Vladimir |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T15:31:38Z |
| format | Article |
| id | doaj.art-9e23498f17894058a0ad19668c442945 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-21T15:31:38Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-9e23498f17894058a0ad19668c4429452022-12-21T18:58:45ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011960300210.1051/e3sconf/202019603002e3sconf_strpep2020_03002Applying general markup knowledge to analyze ionograms of various ionosondesMochalov VladimirMochalova AnastasiaIn 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/56/e3sconf_strpep2020_03002.pdf |
| spellingShingle | Mochalov Vladimir Mochalova Anastasia Applying general markup knowledge to analyze ionograms of various ionosondes E3S Web of Conferences |
| title | Applying general markup knowledge to analyze ionograms of various ionosondes |
| title_full | Applying general markup knowledge to analyze ionograms of various ionosondes |
| title_fullStr | Applying general markup knowledge to analyze ionograms of various ionosondes |
| title_full_unstemmed | Applying general markup knowledge to analyze ionograms of various ionosondes |
| title_short | Applying general markup knowledge to analyze ionograms of various ionosondes |
| title_sort | applying general markup knowledge to analyze ionograms of various ionosondes |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/56/e3sconf_strpep2020_03002.pdf |
| work_keys_str_mv | AT mochalovvladimir applyinggeneralmarkupknowledgetoanalyzeionogramsofvariousionosondes AT mochalovaanastasia applyinggeneralmarkupknowledgetoanalyzeionogramsofvariousionosondes |