Parametric Methods and Algorithms of Volcano Image Processing / Software Engineering Perspectives in Intelligent Systems

Авторы: Korolev S.P., Urmanov I.P., Kamaev A., Girina O.A.
Сборник: Advances in Intelligent Systems and Computing
Том: 1295
Глава в коллективной монографии
Год издания: 2020
Место издания: Springer Cham
Первая страница: 253
Последняя страница: 263
DOI: 10.1007/978-3-030-63319-6_22
Аннотация: 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.
Добавил в систему: Гирина Ольга Алексеевна

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