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Tree identificationand trunk diameter estimation with a 2D laser scanner
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)In: Proceedings of Umeå's 16th student conference in computing science: USCCS 2013 / [ed] Suna Bensch & Frank Drewes, Umeå: Umeå universitet , 2013, 27-38 p.Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents an algorithm for identifying trees in a 2Dlaser scan and six different tree trunk diameter estimation methods. Thetree identification algorithm turned out to be very sensitive and hence notalways as reliable as one could wish. Of the tree trunk estimation methodsthree were developed during this work. All methods were tested andcompared in an experimental way to find out which is most appropriateto use in forestry. The experiment was conducted on three positionswhere the tree trunks visibility differed. The result shows that one ofthe existing methods is not as reliable as the other ones and the othertwo existing ones give a similar result. Noticeable is that the existingmethods overestimates the tree trunk diameter and the newly developedmethods mostly underestimates it, but as the experiment shows givesthe most accurate result in some positions.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2013. 27-38 p.
Series
UMINF, ISSN 0348-0542 ; 13.01
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-71507OAI: oai:DiVA.org:umu-71507DiVA: diva2:624465
Conference
Umeå's 16th student conference in computing science (USCCS 2013), 2nd of January 2013, Umeå
Available from: 2013-05-31 Created: 2013-05-31 Last updated: 2014-01-15Bibliographically approved

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Hohnloser, Peter

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Citation style
  • apa
  • ieee
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Language
  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
  • rtf