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_35
Ключевые слова: image processing, map updating, multidate images, satellite monitoring, urban development
Аннотация: This paper discusses an efficient method for the automated detection of anthropogenic changes in urban development with multispectral satellite producing sub-meter resolution imagery. The proposed method efficiency is confirmed with vector layers of detected changes in urban development obtained as a result of processing infrared and visible multidate images. The developed technique significantly reduces complexity and thus increases operational efficiency of map updating due to automation of satellite imagery processing. © Springer Nature Switzerland AG 2020.
Издание
Журнал: Advances in Intelligent Systems and Computing
Выпуск журнала: Vol. 1226 AISC
Номера страниц: 362-370
ISSN журнала: 21945357
Персоны
- Mozgovoy D.K. (Oles Honchar Dnipro National University, 72, Gagarin Prospect, Dnipro, 49000, Ukraine)
- Kapulin D.V. (Siberian Federal University, 79, Svobodny Prospect, Krasnoyarsk, 660041, Russian Federation)
- Svinarenko D.N. (Oles Honchar Dnipro National University, 72, Gagarin Prospect, Dnipro, 49000, Ukraine)
- Sablinskii A.I. (Kemerovo State University, 73, Sovetsky Prospect, Kemerovo, 650043, Russian Federation)
- Yamskikh T.N. (Siberian Federal University, 79, Svobodny Prospect, Krasnoyarsk, 660041, Russian Federation)
- Tsarev R.Y. (Siberian Federal University, 79, Svobodny Prospect, Krasnoyarsk, 660041, Russian Federation, Krasnoyarsk State Agrarian University, 90, Procpect Mira, Krasnoyarsk, 660049, Russian Federation)
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