Prairie Dog Optimization Algorithm with deep learning assisted based Aerial Image Classification on UAV imagery

Amal K Alkhalifa; Muhammad Kashif Saeed; Kamal M Othman; Shouki A Ebad; Mohammed Alonazi; Abdullah Mohamed

doi:10.1016/j.heliyon.2024.e37446

Prairie Dog Optimization Algorithm with deep learning assisted based Aerial Image Classification on UAV imagery

Heliyon. 2024 Sep 7;10(18):e37446. doi: 10.1016/j.heliyon.2024.e37446. eCollection 2024 Sep 30.

Authors

Amal K Alkhalifa¹, Muhammad Kashif Saeed², Kamal M Othman³, Shouki A Ebad⁴, Mohammed Alonazi⁵, Abdullah Mohamed⁶

Affiliations

¹ Department of Computer Science and Information Technology, Applied College, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia.
² Department of Computer Science, Applied College at Mahayil, King Khalid University, Saudi Arabia.
³ Department of Electrical Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi Arabia.
⁴ Department of Computer Science, Faculty of Science, Northern Border University, Arar, 91431, Saudi Arabia.
⁵ Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 16273, Saudi Arabia.
⁶ Research Centre, Future University in Egypt, New Cairo, 11845, Egypt.

Abstract

This study presents a Prairie Dog Optimization Algorithm with a Deep learning-assisted Aerial Image Classification Approach (PDODL-AICA) on UAV images. The PDODL-AICA technique exploits the optimal DL model for classifying aerial images into numerous classes. In the presented PDODL-AICA technique, the feature extraction procedure is executed using the EfficientNetB7 model. Besides, the hyperparameter tuning of the EfficientNetB7 technique uses the PDO model. The PDODL-AICA technique uses a convolutional variational autoencoder (CVAE) model to detect and classify aerial images. The performance study of the PDODL-AICA model is implemented on a benchmark UAV image dataset. The experimental values inferred the authority of the PDODL-AICA approach over recent models in terms of dissimilar measures.

Keywords: Aerial image classification; Deep learning; Prairie dog optimization; Remote sensing; UAV.