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 aПоказать полностьюnd 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.

Журнал: Advances in Intelligent Systems and Computing

Выпуск журнала: Vol. 1226 AISC

Номера страниц: 362-370

ISSN журнала: 21945357

• 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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