Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/306216| Title: | Construction of a semi-automatic contour of areal objects on hyperspectral satellite images |
| Authors: | Lei, Bin Wan, Wei Nedzvedz, Artiom Nedzved, Alexander Belotserkovsky, Alexei |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
| Issue Date: | 2023 |
| Publisher: | Minsk : BSU |
| Citation: | Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 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://elib.bsu.by/handle/123456789/306216 |
| ISBN: | 978-985-881-522-6 |
| Licence: | info:eu-repo/semantics/openAccess |
| Appears in Collections: | 2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 135-138.pdf | 646,15 kB | Adobe PDF | View/Open |
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