DisasterAdaptiveNet: A robust network for multi-hazard building damage detection from very-high-resolution satellite imagery

Earth observation satellites play a crucial role in disaster response and management, offering timely and large-scale data for damage assessment. Recent studies have demonstrated the potential of deep learning techniques for automated building damage detection from satellite imagery, often based on...

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Autors principals:	Sebastian Hafner, Sebastian Gerard, Josephine Sullivan, Yifang Ban
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-09-01
Col·lecció:	International Journal of Applied Earth Observations and Geoinformation
Matèries:	Earth observation Deep learning Multi-task learning Model conditioning
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1569843225004030
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