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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Principais autores:	Muhammad Kashif Bhatti, Muhammad Attique Khan, Saima Shaheen, Ameer Hamza, Ali Arishi, Dina Abdulaziz AlHammadi, Shabbab Ali Algamdi, Yunyoung Nam
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Customize vision transformer network level fusion neural networks remote sensing (RS) residual self-attention CNN SRAN3
גישה מקוונת:	https://ieeexplore.ieee.org/document/10887346/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!