Extracting urban impervious surface based on optical and SAR images cross-modal multi-scale features fusion network

Extracting urban impervious surface based on optical and SAR images cross-modal multi-scale features fusion network

ABSTRACTMonitoring the spatiotemporal distribution of urban impervious surface is an essential indication for measuring the urbanization process. Optical and synthetic aperture radar (SAR) images are key data sources in urban impervious surface extraction. Because cities are highly heterogeneous sce...

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Bibliographic Details
Main Authors: Songjing Guo, Wenfu Wu, Zhenfeng Shao, Jiahua Teng, Deren Li
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Digital Earth
Subjects:
Urban impervious surface extraction
Cross-modal features fusion
Multi-scale features fusion
Optical and SAR (optical-SAR) images fusion
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2023.2301675

Internet

https://www.tandfonline.com/doi/10.1080/17538947.2023.2301675

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