Parametric Methods and Algorithms of Volcano Image Processing
A key problem of any video volcano surveillance network is an inconsistent quality and information value of the images obtained. To timely analyze the incoming data, they should be pre-filtered. Additionally, due to the continuous network operation and low shooting intervals, an operative visual ana...
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ftinstvs:oai:repo.kscnet.ru:3985 2023-05-15T16:59:07+02:00 Parametric Methods and Algorithms of Volcano Image Processing Korolev S.P. Urmanov I.P. Kamaev A. Girina O.A. Silhavy R. Silhavy P. Prokopova Z. 2020 text http://repo.kscnet.ru/3985/ http://repo.kscnet.ru/3985/1/Korolev2020_Chapter_ParametricMethodsAndAlgorithms.pdf https://link.springer.com/chapter/10.1007%2F978-3-030-63319-6_22 https://doi.org/10.1007/978-3-030-63319-6_22 ru en rus eng Springer http://repo.kscnet.ru/3985/1/Korolev2020_Chapter_ParametricMethodsAndAlgorithms.pdf Korolev S.P. <http://repo.kscnet.ru/view/creators/Korolev=3AS=2EP=2E=3A=3A.html>, Urmanov I.P. <http://repo.kscnet.ru/view/creators/Urmanov=3AI=2EP=2E=3A=3A.html>, Kamaev A. <http://repo.kscnet.ru/view/creators/Kamaev=3AA=2E=3A=3A.html>, Girina O.A. <http://repo.kscnet.ru/view/creators/Girina=3AO=2EA=2E=3A=3A.html> (2020) Parametric Methods and Algorithms of Volcano Image Processing / Software Engineering Perspectives in Intelligent Systems. Advances in Intelligent Systems and Computing. / Silhavy R., Silhavy P., Prokopova Z. eds. Cham: Springer Vol. 1295. pp. 253-263. doi: https://doi.org/10.1007/978-3-030-63319-6_22. 20.23.21 Информационно-поисковые системы. Банки данных Шивелуч Ключевской Раздел книги NonPeerReviewed 2020 ftinstvs https://doi.org/10.1007/978-3-030-63319-6_22 2022-08-09T17:06:44Z A key problem of any video volcano surveillance network is an inconsistent quality and information value of the images obtained. To timely analyze the incoming data, they should be pre-filtered. Additionally, due to the continuous network operation and low shooting intervals, an operative visual analysis of the shots stream is quite difficult and requires the application of various computer algorithms. The article considers the parametric algorithms of image analysis developed by the authors for processing the shots of the volcanoes of Kamchatka. They allow automatically filtering the image flow generated by the surveillance network, highlighting those significant shots that will be further analyzed by volcanologists. A retrospective processing of the full image archive with the methods suggested helps to get a data set, labeled with different classes, for future neural network training. Text Kamchatka Institute of Volcanology and Seismology, Petropavlovsk-Kamchatsky: IVS FEB RAS Repository 253 263 |
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Open Polar |
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Institute of Volcanology and Seismology, Petropavlovsk-Kamchatsky: IVS FEB RAS Repository |
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language |
Russian English |
topic |
20.23.21 Информационно-поисковые системы. Банки данных Шивелуч Ключевской |
spellingShingle |
20.23.21 Информационно-поисковые системы. Банки данных Шивелуч Ключевской Korolev S.P. Urmanov I.P. Kamaev A. Girina O.A. Parametric Methods and Algorithms of Volcano Image Processing |
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20.23.21 Информационно-поисковые системы. Банки данных Шивелуч Ключевской |
description |
A key problem of any video volcano surveillance network is an inconsistent quality and information value of the images obtained. To timely analyze the incoming data, they should be pre-filtered. Additionally, due to the continuous network operation and low shooting intervals, an operative visual analysis of the shots stream is quite difficult and requires the application of various computer algorithms. The article considers the parametric algorithms of image analysis developed by the authors for processing the shots of the volcanoes of Kamchatka. They allow automatically filtering the image flow generated by the surveillance network, highlighting those significant shots that will be further analyzed by volcanologists. A retrospective processing of the full image archive with the methods suggested helps to get a data set, labeled with different classes, for future neural network training. |
author2 |
Silhavy R. Silhavy P. Prokopova Z. |
format |
Text |
author |
Korolev S.P. Urmanov I.P. Kamaev A. Girina O.A. |
author_facet |
Korolev S.P. Urmanov I.P. Kamaev A. Girina O.A. |
author_sort |
Korolev S.P. |
title |
Parametric Methods and Algorithms of Volcano Image Processing |
title_short |
Parametric Methods and Algorithms of Volcano Image Processing |
title_full |
Parametric Methods and Algorithms of Volcano Image Processing |
title_fullStr |
Parametric Methods and Algorithms of Volcano Image Processing |
title_full_unstemmed |
Parametric Methods and Algorithms of Volcano Image Processing |
title_sort |
parametric methods and algorithms of volcano image processing |
publisher |
Springer |
publishDate |
2020 |
url |
http://repo.kscnet.ru/3985/ http://repo.kscnet.ru/3985/1/Korolev2020_Chapter_ParametricMethodsAndAlgorithms.pdf https://link.springer.com/chapter/10.1007%2F978-3-030-63319-6_22 https://doi.org/10.1007/978-3-030-63319-6_22 |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_relation |
http://repo.kscnet.ru/3985/1/Korolev2020_Chapter_ParametricMethodsAndAlgorithms.pdf Korolev S.P. <http://repo.kscnet.ru/view/creators/Korolev=3AS=2EP=2E=3A=3A.html>, Urmanov I.P. <http://repo.kscnet.ru/view/creators/Urmanov=3AI=2EP=2E=3A=3A.html>, Kamaev A. <http://repo.kscnet.ru/view/creators/Kamaev=3AA=2E=3A=3A.html>, Girina O.A. <http://repo.kscnet.ru/view/creators/Girina=3AO=2EA=2E=3A=3A.html> (2020) Parametric Methods and Algorithms of Volcano Image Processing / Software Engineering Perspectives in Intelligent Systems. Advances in Intelligent Systems and Computing. / Silhavy R., Silhavy P., Prokopova Z. eds. Cham: Springer Vol. 1295. pp. 253-263. doi: https://doi.org/10.1007/978-3-030-63319-6_22. |
op_doi |
https://doi.org/10.1007/978-3-030-63319-6_22 |
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