Aircraft Detection in Aerial Imagery Based on YOLO Architectures
| dc.contributor.author | Kashtan, Vita Yu. | en |
| dc.contributor.author | Radionov, Yevhen | en |
| dc.contributor.author | Hnatushenko, Volodymyr V. | en |
| dc.date.accessioned | 2025-07-14T08:46:33Z | |
| dc.date.issued | 2025 | |
| dc.description | V. Kashtan: ORCID 0000-0002-0395-5895; Ye. Radionov: ORCID 0009-0002-2839-7161; Vol. Hnatushenko: ORCID 0000-0003-3140-3788 | en |
| dc.description.abstract | ENG: The study is devoted to determining the most efficient YOLO-based architecture for the task of aircraft detection in high-resolution aerial imagery. A comparative analysis was conducted across YOLO models v8 through v11 under three experimental conditions: using pre-trained (raw) models, fine-tuning the models on a domain-specific dataset, and fine-tuning models to a dataset enhanced through a proposed image preprocessing method. The evaluation considered both accuracy and inference performance metrics. The proposed methodology reduced the false negative rate from 19.5% to 3.2% at a confidence threshold of 0.75, underscoring its effectiveness in enhancing target visibility under challenging imaging conditions such as low contrast or background clutter. | en |
| dc.description.sponsorship | Dnipro University of Technology, Dnipro | en |
| dc.identifier.citation | Kashtan V., Radionov Ye., Hnatushenko Vol. Aircraft Detection in Aerial Imagery Based on YOLO Architectures. CEUR Workshop Proceedings. Vol. 3983 : Proc. of the Intelligent Systems Workshop at 9th International Conference on Computational Linguistics and Intelligent Systems (CoLInS-2025), Kharkiv, Ukraine, May 15-16, 2025. Kharkiv, 2025. P. 196–208. | en |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | https://ceur-ws.org/Vol-3983/ | en |
| dc.identifier.uri | https://crust.ust.edu.ua/handle/123456789/20791 | en |
| dc.language.iso | en | |
| dc.publisher | CEUR-WS Team, Aachen, Germany | en |
| dc.subject | machine learning | en |
| dc.subject | aircraft detection | en |
| dc.subject | object detection | en |
| dc.subject | optical image preprocessing | en |
| dc.subject | YOLO | en |
| dc.subject | КІТС | uk_UA |
| dc.subject.classification | TECHNOLOGY::Information technology::Image analysis | en |
| dc.title | Aircraft Detection in Aerial Imagery Based on YOLO Architectures | en |
| dc.type | Article | en |