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Mozgovoy, D. K.
Kapulin, D. V.
Svinarenko, D. N.
Sablinskii, A. I.
Yamskikh, T. N.
Tsarev, R. Y.
2021-08-13T09:29:59Z
2021-08-13T09:29:59Z
2020-07
Mozgovoy, D. K. Automated Detection of Anthropogenic Changes in Municipal Infrastructure with Satellite Sub-meter Resolution Imagery [Текст] / D. K. Mozgovoy, D. V. Kapulin, D. N. Svinarenko, A. I. Sablinskii, T. N. Yamskikh, R. Y. Tsarev // Advances in Intelligent Systems and Computing. — 2020. — С. 362-370
https://link.springer.com/chapter/10.1007%2F978-3-030-51974-2_35
https://elib.sfu-kras.ru/handle/2311/142345
This paper discusses an efficient method for the automated detection of antropogenic 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.
Satellite Monitoring
Urban Development
Multidate Images
Image Processing
Map Updating
Automated Detection of Anthropogenic Changes in Municipal Infrastructure with Satellite Sub-meter Resolution Imagery
Journal Article
Journal Article Preprint
362-370
2021-08-13T09:29:59Z
10.1007/978-3-030-51974-2_35
Институт космических и информационных технологий
Кафедра разговорного иностранного языка
Кафедра информатики
Advances in Intelligent Systems and Computing
Q3
без квартиля


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