| DC Field | Value | Language |
|---|
| dc.contributor.author | Bin Lei | - |
| dc.contributor.author | Wei Wan | - |
| dc.contributor.author | Nedzved, A. | - |
| dc.contributor.author | Nedzved, A. | - |
| dc.contributor.author | Belotserkovsky, A. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-26T11:41:46Z | - |
| dc.date.available | 2024-02-26T11:41:46Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.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. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54372 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | hyperspectrum | en_US |
| dc.subject | multispectrum | en_US |
| dc.subject | contour | en_US |
| dc.subject | feature space | en_US |
| dc.title | Construction of a semi-automatic contour of areal objects on hyperspectral satellite images | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
