Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/62014
Title: Segmentation Algorithms in Processing Satellite Images
Authors: Pertsau, D.
Khatsianevich, A.
Keywords: публикации ученых;segmentation;satellite images;watershed;flood fill;grayscale image;image processing
Issue Date: 2025
Publisher: United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Citation: Pertsau, D. Segmentation Algorithms in Processing Satellite Images / D. Pertsau, A. Khatsianevich // Pattern Recognition and Information Processing (PRIP'2025) : Proceedings of the 17th International Conference, 16–18 September 2025, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus ; ed. : A. Tuzikov, A. Belotserkovsky. – Minsk, 2025. – P. 244–247.
Abstract: The problem of satellite image processing is specific and narrowly focused, but it is relevant in the context of active development of space technologies. This article analyzes the results of image segmentation by several algorithms, and then compares these results by selected metric: accuracy of the accordance of the boundaries of objects in the original images and images after processing. The results of the experiments reveal the most suitable segmentation algorithm for different starting conditions and different input data.
URI: https://libeldoc.bsuir.by/handle/123456789/62014
Appears in Collections:Публикации в изданиях Республики Беларусь

Files in This Item:
File Description SizeFormat 
Pertsau_Segmentation.pdf4 MBAdobe PDFView/Open
Show full item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.