A Novel Approach for High-Resolution Coastal Areas and Land Use Recognition From Remote Sensing Images Based on Multimodal Network-Level Fusion of SRAN3 and Lightweight Four Encoders ViT

Land use land cover classification from satellite images (remote sensing) has shown many efforts from the last decade due to ecological surveillance, rapid urbanization, law enforcement, climate change, agriculture drought, and disaster recovery. The low-resolution remote sensing images impact on th...

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Bibliographic Details
Main Authors:	Muhammad Kashif Bhatti, Muhammad Attique Khan, Saima Shaheen, Ameer Hamza, Ali Arishi, Dina Abdulaziz AlHammadi, Shabbab Ali Algamdi, Yunyoung Nam
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Customize vision transformer network level fusion neural networks remote sensing (RS) residual self-attention CNN SRAN3
Online Access:	https://ieeexplore.ieee.org/document/10887346/
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A Novel Approach for High-Resolution Coastal Areas and Land Use Recognition From Remote Sensing Images Based on Multimodal Network-Level Fusion of SRAN3 and Lightweight Four Encoders ViT

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