Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis.

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第一作者： Youseef,Alotaibi

第一单位： College of Computer and Information Systems, Umm Al Qura University, Makkah, Saudi Arabia.

作者： Youseef,Alotaibi ^[1] ; Brindha,Rajendran ^[2] ; Geetha,Rani K ^[3] ; Surendran,Rajendran ^[4]

作者单位： College of Computer and Information Systems, Umm Al Qura University, Makkah, Saudi Arabia. ^[1] Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, India. ^[2] Department of Computer Science and Engineering, Jain (Deemed-to-be University), Bangalore, India. ^[3] Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. ^[4]

关键词 Crop classification Deep learning Dipper throat optimization algorithm Image processing Remote sensing images

DOI 10.7717/peerj-cs.1828

PMID 38435591

发布时间 2024-03-05

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PeerJ. Computer science

2024年10卷

e1828页

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Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis.

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Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis.

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