Deep Learning Algorithms in Aircraft Detection and Classification: An Analytical Survey
Aircraft detection has become a very crucial aspect in the aviation industry due to its vital role in identifying unauthorized aircraft trespassing into restricted areas. Due to their significant role in decision-making, these detection systems must have a high level of accuracy. In this paper, we address deep learning feature extraction and aircraft detection methods. This study aims to explore deep learning-based feature extraction techniques and airplane identification techniques. The applications examined stop unauthorized aircraft from entering restricted airspace by utilizing a range of deep learning models. The study results and basic information on feature types, image types, and detection techniques are presented in this paper.
Authors
- Ali Bou Nassif (ORCID: https://orcid.org/0000-0003-1570-0897)
- Manar Abu Talib
- Shaikha Alzaabi (ORCID: https://orcid.org/0000-0003-0090-0431)
- Mariame Elsalhy
- Noora Alkharji
- Hesssa Almazrouei
Institutions
- University of Sharjah (AE)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/dese63988.2024.10912016
- Citations
- 1
- Primary Topic
- Air Traffic Management and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.30