@inproceedings{639781d5ae0c4a9488cc956f29655179,
title = "Deep Learning Algorithms in Aircraft Detection and Classification: An Analytical Survey",
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.",
keywords = "Aircraft Detection, Deep learning, Feature Extraction",
author = "Noora Alkharji and Hesssa Almazrouei and Shaikha Alzaabi and Nassif, \{Ali Bou\} and Mariame Elsalhy and Talib, \{Manar Abu\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 17th International Conference on Developments in eSystems Engineering, DeSE 2024 ; Conference date: 06-11-2024 Through 08-11-2024",
year = "2024",
doi = "10.1109/DeSE63988.2024.10912016",
language = "English",
series = "Proceedings - International Conference on Developments in eSystems Engineering, DeSE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "568--573",
editor = "Dhiya Al-Jumeily and Sulaf Assi and Manoj Jayabalan and Jade Hind and Abir Hussain and Hissam Tawfik and Neil Rowe and Jamila Mustafina",
booktitle = "17th International Conference on Developments in eSystems Engineering, DeSE 2024",
address = "United States",
}