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.

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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
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article

Deep Learning Algorithms in Aircraft Detection and Classification: An Analytical Survey

Ali Bou Nassif, Manar Abu Talib, Shaikha Alzaabi, Mariame Elsalhy et al.
1 citations
Air Traffic Management and Optimization
1.30
article

Deep Learning Algorithms in Aircraft Detection and Classification: An Analytical Survey

Ali Bou Nassif, Manar Abu Talib, Shaikha Alzaabi, Mariame Elsalhy, Noora Alkharji, Hesssa Almazrouei
article en
1 citations

Abstract

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.

University of Sharjah (AE)
Openalex Percentile: Top 10%
Air Traffic Management and Optimization
1.30
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