Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Computer Science Online Conference, CSOC 2021
Год издания: 2021
Идентификатор DOI: 10.1007/978-3-030-77448-6_60
Ключевые слова: emergencies, image processing, multispectral survey, object recognition, radar survey, satellite monitoring
Аннотация: The results of the development and testing of a method for automated processing of radar and multispectral satellite images of medium spatial resolution for all-weather satellite monitoring of natural and anthropogenic emergencies are presented. The work uses two-polarizing C-band images from Sentinel-1A/B satellites and multispectПоказать полностьюral images in the visible and infrared ranges from Sentinel-2A/B satellites. Due to the high degree of automation, the proposed method can significantly increase the efficiency and reliability of recognition, as well as the accuracy of determining the boundaries and areas of controlled areas when assessing the scale, dynamics, and consequences of emergencies. The testing of the proposed method on a large set of images showed good stability of the results obtained and fairly high stability of the methods and algorithms used. #CSOC1120. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Журнал: Lecture Notes in Networks and Systems
Выпуск журнала: Vol. 228
Номера страниц: 607-620
ISSN журнала: 23673370
Издатель: Springer Science and Business Media Deutschland GmbH