https://libeldoc.bsuir.by/handle/123456789/54372| Title: | Construction of a semi-automatic contour of areal objects on hyperspectral satellite images |
| Authors: | Bin Lei Wei Wan Nedzved, A. Nedzved, A. Belotserkovsky, A. |
| Keywords: | материалы конференций;hyperspectrum;multispectrum;contour;feature space |
| Issue Date: | 2023 |
| Publisher: | BSU |
| Citation: | Construction of a semi-automatic contour of areal objects on hyperspectral satellite images / Bin Lei [et al.] // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 135–138. |
| Abstract: | In this article, we formalize the problem of constructing a semi-automatic contour of areal objects on satellite hyperspectral images, and present a solution algorithm using PCA and Dijkstra's algorithm. The contour is considered as the boundary of the object, which can be used for its segmentation and classification. The semi-automatic contour assumes reference points set by the operator. The formalization of the algorithm has been completed. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/54372 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Bin_Lei_Construction.pdf | 639.71 kB | Adobe PDF | View/Open |
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