An innovative and automated method for characterizing wood defects on trunk surfaces using high-density 3D terrestrial LiDAR data
Crossref DOI link: https://doi.org/10.1007/s13595-020-01022-3
Published Online: 2021-04-01
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nguyen, Van-Tho https://orcid.org/0000-0001-6600-3894
Constant, ThiƩry
Colin, Francis
Text and Data Mining valid from 2021-04-01
Version of Record valid from 2021-04-01
Article History
Received: 27 June 2018
Accepted: 7 December 2020
First Online: 1 April 2021
Compliance with ethical standards
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: The authors declare that they have no conflict of interest.
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