Detection of Windthrown Tree Stems on UAV-Orthomosaics Using U-Net Convolutional Networks

Detection of Windthrown Tree Stems on UAV-Orthomosaics Using U-Net Convolutional Networks

The increasing number of severe storm events is threatening European forests. Besides the primary damages directly caused by storms, there are secondary damages such as bark beetle outbreaks and tertiary damages due to negative effects on the market. These subsequent damages can be minimized if a de...

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Bibliographic Details
Main Authors: Stefan Reder, Jan-Peter Mund, Nicole Albert, Lilli Waßermann, Luis Miranda
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
natural disaster analysis
forest damage assessment
windthrow detection
deep learning
U-Net
UAV
Online Access:https://www.mdpi.com/2072-4292/14/1/75

Internet

https://www.mdpi.com/2072-4292/14/1/75

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