Dual-task learning for dead tree detection and segmentation with hybrid self-attention U-Nets in aerial imagery

Mapping standing dead trees is critical for assessing forest health, monitoring biodiversity, and mitigating wildfire risks, for which aerial imagery has proven useful. However, dense canopy structures, spectral overlaps between living and dead vegetation, and over-segmentation errors limit the reli...

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Κύριοι συγγραφείς:	Anis Ur Rahman, Einari Heinaro, Mete Ahishali, Samuli Junttila
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2025-11-01
Σειρά:	International Journal of Applied Earth Observations and Geoinformation
Θέματα:	Dead tree segmentation Forest mortality mapping Aerial imagery analysis Self-attention U-Net High-resolution imagery
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S1569843225004984
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