| DC Field | Value | Language |
|---|
| dc.contributor.author | Pertsau, D. | - |
| dc.contributor.author | Khatsianevich, A. | - |
| dc.coverage.spatial | Minsk | en_US |
| dc.date.accessioned | 2025-11-19T12:03:51Z | - |
| dc.date.available | 2025-11-19T12:03:51Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.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. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/62014 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | United Institute of Informatics Problems of the National Academy of Sciences of Belarus | en_US |
| dc.subject | публикации ученых | en_US |
| dc.subject | segmentation | en_US |
| dc.subject | satellite images | en_US |
| dc.subject | watershed | en_US |
| dc.subject | flood fill | en_US |
| dc.subject | grayscale image | en_US |
| dc.subject | image processing | en_US |
| dc.title | Segmentation Algorithms in Processing Satellite Images | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Публикации в изданиях Республики Беларусь
|
