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Tree identificationand trunk diameter estimation with a 2D laser scanner
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
2013 (Engelska)Ingår i: Proceedings of Umeå's 16th student conference in computing science: USCCS 2013 / [ed] Suna Bensch & Frank Drewes, Umeå: Umeå universitet , 2013, s. 27-38Konferensbidrag, Publicerat paper (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå universitet , 2013. s. 27-38
Serie
UMINF, ISSN 0348-0542 ; 13.01
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:umu:diva-71507OAI: oai:DiVA.org:umu-71507DiVA, id: diva2:624465
Konferens
Umeå's 16th student conference in computing science (USCCS 2013), 2nd of January 2013, Umeå
Tillgänglig från: 2013-05-31 Skapad: 2013-05-31 Senast uppdaterad: 2018-06-08Bibliografiskt granskad

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Hohnloser, Peter

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