Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/324391| Title: | Aircraft Detection Approach Based on YOLOv9 for High-Resolution Remote Sensing |
| Authors: | Saetchnikov, Ivan Skakun, Victor Tcherniavskaia, Elina |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика |
| Issue Date: | 2024 |
| Citation: | International Workshop on Metrology for AeroSpace |
| Abstract: | The rapid advancements in cube and nano satellites have made hight quality remote sensing images acesible leading to crucial objectrecognition tasks with exensive application range |
| URI: | https://elib.bsu.by/handle/123456789/324391 |
| Licence: | info:eu-repo/semantics/openAccess |
| Appears in Collections: | Архив статей |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Tcherniavskaia1.pdf | 68,93 kB | Adobe PDF | View/Open | |
| IEEE_статья.pdf | 469,25 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.