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Journal of Computer and Systems Sciences International
Erschienen in: Journal of Computer and Systems Sciences International 1/2020

01.01.2020 | PATTERN RECOGNITION AND IMAGE PROCESSING

Detection of Thermal Anomalies in the Images of Volcanoes Taken at Night

verfasst von: A. N. Kamaev, S. P. Korolev, A. A. Sorokin, I. P. Urmanov

Erschienen in: Journal of Computer and Systems Sciences International | Ausgabe 1/2020

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Abstract

The problem of revealing the appearance and development of thermal anomalies in the images of volcanoes taken at night in the visible and near-infrared ranges is discussed. An algorithm for detecting and classifying such anomalies is proposed and is tested on the data from the archive of the video monitoring of volcanoes on Kamchatka. The results obtained suggest the possible use of the developed solution in the tasks of real-time monitoring of volcanic activity in the Russian Far East.
Vorheriger Artikel Advanced “Confident Judgments” Method when Choosing Multicriteria Solutions in a Multipurpose Approach
Nächster Artikel Method for Selecting the Parameter Values of the Takeoff Phase of Civil and Military Transport AC, as well as Unmanned Aerial Vehicles

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Metadaten
Titel
Detection of Thermal Anomalies in the Images of Volcanoes Taken at Night
verfasst von
A. N. Kamaev
S. P. Korolev
A. A. Sorokin
I. P. Urmanov
Publikationsdatum
01.01.2020
Verlag
Pleiades Publishing
Erschienen in
Journal of Computer and Systems Sciences International / Ausgabe 1/2020
Print ISSN: 1064-2307
Elektronische ISSN: 1555-6530
DOI
https://doi.org/10.1134/S106423071906008X

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