umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Enhanced Algorithms for Estimating Tree Trunk Diameter Using 2D Laser Scanner
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Dept. of Forest Resource Management, Swedish University of Agricultural Sciences.
Show others and affiliations
2013 (English)In: Remote Sensing, ISSN 2072-4292, E-ISSN 2072-4292, Vol. 5, no 10, 4839-4856 p.Article in journal (Refereed) Published
Abstract [en]

Accurate vehicle localization in forest environments is still an unresolved problem. Global navigation satellite systems (GNSS) have well known limitations in dense forest, and have to be combined with for instance laser based SLAM algorithms to provide satisfying accuracy. Such algorithms typically require accurate detection of trees, and estimation of tree center locations in laser data. Both these operations depend on accurate estimations of tree trunk diameter. Diameter estimations are important also for several other forestry automation and remote sensing applications. This paper evaluates several existing algorithms for diameter estimation using 2D laser scanner data. Enhanced algorithms, compensating for beam width and using multiple scans, were also developed and evaluated. The best existing algorithms overestimated tree trunk diameter by ca. 40%. Our enhanced algorithms, compensating for laser beam width, reduced this error to less than 12%.

Place, publisher, year, edition, pages
Basel: MDPI , 2013. Vol. 5, no 10, 4839-4856 p.
Keyword [en]
beam width compensation, multiple laser scans, stem diameter, forestry, accuracy and quality, terrestrial laser scanning, mobile laser scanning
National Category
Computer Science Forest Science
Research subject
Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-81410DOI: 10.3390/rs5104839ISI: 000328614900006OAI: oai:DiVA.org:umu-81410DiVA: diva2:655049
Funder
EU, FP7, Seventh Framework Programme, CROPS GA no 246252
Available from: 2013-10-09 Created: 2013-10-09 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

Enhanced Algorithms for Estimating Tree Trunk Diameter Using 2D Laser Scanner(1128 kB)364 downloads
File information
File name FULLTEXT01.pdfFile size 1128 kBChecksum SHA-512
9d5f2c6cbe9ce440d7cf155f89f3f1c64a720e505c44d61d7db0977a2986559c3a80e9a290e360dd82399b59b79e087f47bf3d52d869638c68825e49569f547f
Type fulltextMimetype application/pdf

Other links

Publisher's full textExtern länk

Search in DiVA

By author/editor
Ringdahl, OlaHohnloser, PeterHellström, Thomas
By organisation
Department of Computing Science
In the same journal
Remote Sensing
Computer ScienceForest Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 364 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 167 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf