Improving remote sensing scene classification using dung Beetle optimization with enhanced deep learning approach.

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作者： Mohammad,Alamgeer ^[1] ; Alanoud,Al Mazroa ^[2] ; Saud,S Alotaibi ^[3] ; Meshari H,Alanazi ^[4] ; Mohammed,Alonazi ^[5] ; Ahmed,S Salama ^[6]

作者单位： Department of Information Systems, Applied College at Mahayil, King Khalid University, Saudi Arabia. ^[1] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University (PNU), P.O. Box 84428, Riyadh, 11671, Saudi Arabia. ^[2] Department of Computer Science and Artificial Intelligence, College of Computing, Umm Al-Qura University, Saudi Arabia. ^[3] Department of Computer Science, College of Sciences, Northern Border University, Arar, Saudi Arabia. ^[4] Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 16273, Saudi Arabia. ^[5] Department of Electrical Engineering, Faculty of Engineering & Technology, Future University in Egypt, New Cairo, 11845, Egypt. ^[6]

关键词 Deep learning Dung beetle optimization Remote sensing images Scene classification Transfer learning

DOI 10.1016/j.heliyon.2024.e37154

PMID 39318799

发布时间 2024-09-26

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2024年10卷18期

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Improving remote sensing scene classification using dung Beetle optimization with enhanced deep learning approach.

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Improving remote sensing scene classification using dung Beetle optimization with enhanced deep learning approach.

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