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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Bibliografski detalji

Glavni autori:	Sebastian Hafner, Sebastian Gerard, Josephine Sullivan, Yifang Ban
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-09-01
Serija:	International Journal of Applied Earth Observations and Geoinformation
Teme:	Earth observation Deep learning Multi-task learning Model conditioning
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1569843225004030
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