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Title: 소나무와 금강송의 수종식별을 위한 화학계량학적 접근 --근적외선 분광법과 다변량분석을 이용한수종 분류--
Other Titles: Chemometrics approach for species identification of pinus densiflora Sieb. et Zucc. and Pinus densiflora for. erecta Uyeki: -Species classification using near-infrared spectroscopy in combination with multivariate analysis
Authors: 황, 성욱  KAKEN_name
이, 원희  KAKEN_name
Horikawa, Yoshiki
Sugiyama, Junji  kyouindb  KAKEN_id
Author's alias: Hwang, Sung Wook
Lee, Won Hee
堀川, 祥生
杉山, 淳司
Keywords: Wood identification
Near-infrared spectroscopy
Partial least square discriminant analysis
Pinus densiflora for. erecta Uyeki
Pinus densiflora Sieb. et Zucc
Principal component analysis
Issue Date: 1-Jan-2015
Publisher: Korean Society of Wood Science Technology
Journal title: Journal of the Korean Wood Science and Technology
Volume: 43
Issue: 6
Start page: 701
End page: 713
Abstract: A model was designed to identify wood species between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. using the near-infrared (NIR) spectroscopy in combination with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). In the PCA using all of the spectra, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could not be classified. In the PCA using the spectrum that has been measured in sapwood, however, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could be identified. In particular, it was clearly classified by sapwood in radial section. And more, these two species could be perfectly identified using PLS-DA prediction model. The best performance in species identification was obtained when the second derivative spectra was used; the prediction accuracy was 100%. For prediction model, the Rp 2 value was 0.86 and the RMSEP was 0.38 in second derivative spectra. It was verified that the model designed by NIR spectroscopy with PLS-DA is suitable for species identification between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc.
Rights: © Korean Society of Wood Science Technology
URI: http://hdl.handle.net/2433/218246
DOI(Published Version): 10.5658/WOOD.2015.43.6.701
Appears in Collections:Journal Articles

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