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Robustness of YOLO models for object detection in remote sensing images Cover

Robustness of YOLO models for object detection in remote sensing images

Journal of Electrical Engineering
Volume 76 (2025): Issue 5 (October 2025)
By: Touati Adli,  Dimitrije M. Bujaković,  Boban P. Bondžulić,  Mohammed Zouaoui Laidouni and  Milenko S. Andrić  
Open Access
|Oct 2025

Authors

Touati Adli

adlitouati94@gmail.com

Military Academy, University of Defence in Belgrade, Serbia

Dimitrije M. Bujaković

dimitrijebujakovic@gmail.com

Military Academy, University of Defence in Belgrade, Serbia

Boban P. Bondžulić

bondzulici@yahoo.com

Military Academy, University of Defence in Belgrade, Serbia

Mohammed Zouaoui Laidouni

mohammedz.laidouni@gmail.com

Military Academy, University of Defence in Belgrade, Serbia

Milenko S. Andrić

andricsmilenko@gmail.com

Military Academy, University of Defence in Belgrade, Serbia
DOI: https://doi.org/10.2478/jee-2025-0045 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 429 - 442
Submitted on: Jun 29, 2025
|
Published on: Oct 16, 2025
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
object detection,
image distortion,
deep learning,
remote sensing images,
YOLO,
DOTA dataset
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Touati Adli, Dimitrije M. Bujaković, Boban P. Bondžulić, Mohammed Zouaoui Laidouni, Milenko S. Andrić, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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