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Parametric Methods and Algorithms of Volcano Image Processing

Korolev S.P., Urmanov I.P., Kamaev A., Girina O.A. ORCID logoORCID: https://orcid.org/0000-0003-4918-2338 (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: 10.1007/978-3-030-63319-6_22.

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Abstract

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.
Item Type: Book Section
Title: Parametric Methods and Algorithms of Volcano Image Processing
Language: English
Title of Book: Software Engineering Perspectives in Intelligent Systems
ISBN: 978-3-030-63318-9; e-978-3-030-63319-6
Subjects: 3 State scientific and technical information rubricator (ГРНТИ) > 20 ИНФОРМАТИКА > 20.23 Информационный поиск > 20.23.21 Информационно-поисковые системы. Банки данных
1 Volcanoes > 1.1 Volcanoes of the Kurile-Kamchatka Region > 1.1.1 Kamchatka > Sheveluch
1 Volcanoes > 1.1 Volcanoes of the Kurile-Kamchatka Region > 1.1.1 Kamchatka > Klyuchevskoy
Depositing User: к.г.-.м.н. О.А. Гирина
Date Deposited: 03 Jan 2021 05:49
Last Modified: 03 Jan 2021 05:50
URI: http://repo.kscnet.ru/id/eprint/3985

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