Automated Detection of Anthropogenic Changes in Municipal Infrastructure with Satellite Sub-meter Resolution Imagery
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URI (для ссылок/цитирований):
https://link.springer.com/chapter/10.1007%2F978-3-030-51974-2_35https://elib.sfu-kras.ru/handle/2311/142345
Автор:
Mozgovoy, D. K.
Kapulin, D. V.
Svinarenko, D. N.
Sablinskii, A. I.
Yamskikh, T. N.
Tsarev, R. Y.
Коллективный автор:
Институт космических и информационных технологий
Кафедра разговорного иностранного языка
Кафедра информатики
Дата:
2020-07Журнал:
Advances in Intelligent Systems and ComputingКвартиль журнала в Scopus:
Q3Квартиль журнала в Web of Science:
без квартиляБиблиографическое описание:
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. 362-370Аннотация:
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.