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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/45829
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dc.contributor.authorLabokha, A.-
dc.contributor.authorShamyna, A.-
dc.contributor.authorArdyako, A.-
dc.date.accessioned2021-11-05T11:12:20Z-
dc.date.available2021-11-05T11:12:20Z-
dc.date.issued2021-
dc.identifier.citationLabokha, A. Cloud Detection in Aerospace Imagery of Environmental Monitoring / Labokha A., Shamyna A., Ardyako A. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 241–244.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/45829-
dc.description.abstractIn this paper, the problem of cloud detection in the processing of aerospace images is considered for further use of images in monitoring systems for natural complexes. The existing methods of cloudiness recognition on aerospace images are analyzed, an approach based on an admissible range of values is proposed for solving a particular class of problems. An experimental comparison of the algorithms is carried out, and on the basis of the results obtained, the effectiveness of the proposed method is determined. An approach is identified for the most complete removal of cloudiness from the image.ru_RU
dc.language.isoenru_RU
dc.publisherUIIP NASBru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectconference proceedingsru_RU
dc.subjectcloud detectionru_RU
dc.subjectaerospace imagesru_RU
dc.subjectmonitoringru_RU
dc.subjectGISru_RU
dc.titleCloud Detection in Aerospace Imagery of Environmental Monitoringru_RU
dc.typeСтатьяru_RU
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)

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