Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Computer Science On-line Conference, CSOC 2020
Год издания: 2020
Идентификатор DOI: 10.1007/978-3-030-51974-2_36
Ключевые слова: image processing, satellite monitoring, sub-meter resolution
Аннотация: The paper considers an algorithm for automated classification of mobile small size objects on multispectral satellite images of submeter spatial resolution using radiometric and geometric features. It ensures recognizing the desired classes of objects with high accuracy regardless of their orientation in the image. The geometric feПоказать полностьюatures of the objects classified in the binary image included the area of the object, the lengths of the principal and auxiliary axes of inertia, the eccentricity of the ellipse with the main moments of inertia, the area of a convex polygon described near the object, the equivalent diameter of a circle with the same area, and the convexity coefficient. © Springer Nature Switzerland AG 2020.
Журнал: Advances in Intelligent Systems and Computing
Выпуск журнала: Vol. 1226 AISC
Номера страниц: 371-379
ISSN журнала: 21945357