Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data
Wildfire damage severity census is a crucial activity for estimating monetary losses and for planning a prompt restoration of the affected areas. It consists in assigning, after a wildfire, a numerical damage/severity level, between 0 and 4, to each sub-area of the hit area. While burned area identi...
Wedi'i Gadw mewn:
| Prif Awduron: | , , |
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| Fformat: | Artigo |
| Iaith: | Inglês |
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MDPI AG
2020-06-01
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| Cyfres: | Applied Sciences |
| Pynciau: | |
| Mynediad Ar-lein: | https://www.mdpi.com/2076-3417/10/12/4332 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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