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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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2025-11-01
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| Collection: | International Journal of Applied Earth Observations and Geoinformation |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S1569843225004984 |
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