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An Algorithm for Small Aircraft Recognition by Unmanned Air Vehicle Imagery Cover

An Algorithm for Small Aircraft Recognition by Unmanned Air Vehicle Imagery

By: Marin Marinov and  Penyo Penev  
Open Access
|Jul 2025

References

  1. Ashapure A, Jung J et al. A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data. Remote Sensing. 2019; 11(23):2757. https://doi.org/10.3390/rs11232757.
  2. Basim Azam, Muhammad Jaleed Khan et al. Aircraft detection in satellite imagery using deep learning-based object detectors. Microprocessors and Microsystems. 2022; Volume 94: 104630. ISSN 0141-9331, https://doi.org/10.1016/j.micpro.2022.104630.
  3. Chen L., Zhou L., Liu J. Aircraft Recognition from Remote Sensing Images Based on Machine Vision. Journal of Information Processing Systems. 2020; 16(4): pp.795-808. DOI: 10.3745/JIPS.02.0136.
  4. Fu S., He Y., Du X. et al. Anchor-free object detection in remote sensing images using a variable receptive field network. EURASIP J. Adv. Signal Process. 2023; 53 (2023). https://doi.org/10.1186/s13634-023-01013-2.
  5. Gonzalez Rafael C., Richard E. Woods. Digital Image Processing. 4th Edition. New York: Pearson Education Limited; 2018.
  6. Hsieh Jun-Wei, Chen J. M. et al. Aircraft type recognition in satellite images. Vision, Image and Signal Processing, IEE Proceedings. 152(4): 2005, 307 - 315. 10.1049/ipvis:20049020.
  7. Kang J., Tariq S. et al. A Survey of Deep Learning-Based Object Detection Methods and Datasets for Overhead Imagery. IEEE Access. 2022; vol. 10: pp. 20118-20134. doi: 10.1109/ACCESS.2022.3149052.
  8. Marinov Marin, Penev Penyo. An Algorithm for Aircraft Detection with an Empty Weight of up to 1500 Kilograms, Located on a Grass Airfields. In Annual International Sceintific Conference. Dolna Mitropolia, Bulgaria: Bulgarian Air Force Academy; October 17-18, 2024. pp. 126-140.
  9. Marinov Marin, Penev Penyo. Identification of Aircraft with an Empty Weight of up to 1500 Kilograms in UAV Imagery. In Annual International Sceintific Conference. Dolna Mitropolia, Bulgaria: Bulgarian Air Force Academy; October 17-18,. 141-150, 2024.
  10. Qiangwei Liu, Xiuqiao Xiang et al. Aircraft detection in remote sensing image based on corner clustering and deep learning. Engineering Applications of Artificial Intelligence. 2020; Volume 87:103333, ISSN 0952-1976. https://doi.org/10.1016/j.engappai.2019.103333.
  11. Petrova Teodora, Petkova-Georgieva Stoyanka, Petrov Zhivo. Improving the environmental monitoring process through the application of unmanned aerial vehicles. Journal of Environmental Protection and Ecology. 22(3): 1144-1150, 2021. ISSN 1311-5065.
  12. Petrova Teodora, Petrov Zhivo, Contrast Enhancing by Applying Histogram Analysis in Image Processing. In 22nd International Symposium INFOTEH-JAHORINA (INFOTEH). East Sarajevo, Bosnia and Herzegovina: 2023. 1-4. doi 10.1109/INFOTEH57020.2023.10094055.
  13. Petrova Teodora, Petrov Zhivo. Linear Images Coprocessing in Environmental Monitoring. In Proceedings of the 23rd International Conference on Computer Systems and Technologies. New York, USA: Association for Computing Machinery; 2022. 91–94. https://doi.org/10.1145/3546118.3546144.
  14. Sahith Jai K. Recognition of Aircraft in Remote Sensing Images Using Convolutional Neural Network. Journal of Airline Operations and Aviation Management. 2022; Vol. 1 No 1. 63-70. ISSN 2949-7698.
  15. Majumdar Sushobhan. The Role of Remote Sensing and GIS in Military Strategy to Prevent Terror Attacks. In: Subhendu Kumar P., Sanjay Kumar Si, et al. editors. Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications. Wiley; 2021. 79-94. doi:10.1002/9781119711629.ch4.
  16. Tan Y, Li Q. et al. Aircraft Detection in High-Resolution SAR Images Based on a Gradient Textural Saliency Map. Sensors. 2015; 15(9):23071-23094. https://doi.org/10.3390/s150923071.
  17. Tang L., Zhou S., Wang X. A Lightweight Object Detection Network for UAV Aerial Images. Frontiers in Computing and Intelligent Systems. 2024; 8(1):35-42. https://doi.org/10.54097/c5q8fv57.
  18. Wang Yanfeng, Wang Tao et al. TransEffiDet: Aircraft Detection and Classification in Aerial Images Based on EfficientDet and Transformer. Computational Intelligence and Neuroscience. 2022; vol.2022(2262549). 10 pages. https://doi.org/10.1155/2022/2262549.
  19. Zhang Y., Sun H. et al. Aircraft Type Recognition in Remote Sensing Images Based on Feature Learning with Conditional Generative Adversarial Networks. Remote Sensing. 2018; 10(7):1123. https://doi.org/10.3390/rs10071123.
Language: English
Page range: 85 - 93
Published on: Jul 5, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2025 Marin Marinov, Penyo Penev, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.