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Multivariate prediction of wood surface features using an imaging spectrograph
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0001-8404-7356
1997 (English)In: European Journal of Wood and Wood Products, ISSN 0018-3768, E-ISSN 1436-736X, Vol. 55, no 6, p. 377-382Article in journal (Refereed) Published
Abstract [en]

Picea abies , Pinus sylvestris), is reported, showing verified 92-94% correct classification. It is shown that compression wood classification could be reduced to an uncomplicated linear model using just a few spectral components where the most important one is around the limit for visible light going to the Ultraviolet spectra. This almost univariate behaviour for the model is not the common behaviour for other wood surface features

Place, publisher, year, edition, pages
1997. Vol. 55, no 6, p. 377-382
National Category
Other Mechanical Engineering
Research subject
Wood Technology
Identifiers
URN: urn:nbn:se:ltu:diva-8777DOI: 10.1007/s001070050250Local ID: 750388f0-0864-11dc-b09b-000ea68e967bOAI: oai:DiVA.org:ltu-8777DiVA, id: diva2:981715
Note
Godkänd; 1997; 20070522 (cira)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Hagman, Olle

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