Applying Machine Learning to Detect Historical Remains in Swedish Forestry Using LIDAR Data

Applying Machine Learning to Detect Historical Remains in Swedish Forestry Using LIDAR Data

Historical remains in Swedish forests are at risk of being damaged by heavy machineryduring regular soil preparation, scarification, and regeneration activities. Thereason for this is that the exact locations of these remains are often unknown or theirrecords are inaccurate. Some of the most vulnera...

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Bibliographic Details
Main Author: Abdulin, Ruslan
Format: Others
Language:English
Published: Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) 2021
Subjects:
machine learning
neural networks
artificial intelligence
LIDAR
Swedish forestry
image segmentation
historical remains
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104885

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104885

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