Progressive multi-task graph neural network with multi-dimensional spatial feature fusion for building age prediction

Accurate acquisition of building age information is of significant importance for understanding urban conditions. However, existing building age prediction methods face several challenges, including insufficient consideration of multi-dimensional spatial features, imbalanced sample distribution, and...

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Autores principales:	Keyu Lu, Xin Zhao, Manchun Li, Lipeng Zheng
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-05-01
Colección:	International Journal of Applied Earth Observations and Geoinformation
Materias:	Multi-task learning Building age prediction Graph neural network Data fusion GeoAI
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S1569843226002062
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