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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/45829
Title: Cloud Detection in Aerospace Imagery of Environmental Monitoring
Authors: Labokha, A.
Shamyna, A.
Ardyako, A.
Keywords: материалы конференций;conference proceedings;cloud detection;aerospace images;monitoring;GIS
Issue Date: 2021
Publisher: UIIP NASB
Citation: Labokha, 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.
Abstract: In 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.
URI: https://libeldoc.bsuir.by/handle/123456789/45829
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)

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