01474naa a2200229 a 450000100080000000500110000800800410001910000170006024500920007726000090016952008250017865000190100365000090102265000120103165300200104365300250106365300250108870000190111370000210113270000180115377300730117113129762025-07-21       1996    bl uuuu     u00u1 u    #d1 aLEBOW, P. K.  aClassification of wood surface features by spectral reflectance.h[electronic resource]  c1996  aA database of spectral-reflectance curves of Douglas-fir veneer surface features is presented and analyzed via principal-component analysis. The paper describes how such analysis can be used to model and classify the spectral-reflectance curves by feature type. For modeling (curve-reconstruction) purposes, three principal components were sufficient by most criteria. For classification purposes, seven principal components achieved classification accuracies (with quadratic discriminant analysis) on the order of 99%, comparable to the accuracies achieved with the raw spectral data. The best seven principal components were not those associated with the largest variation in the data. This paper suggests how comparable classification accuracies might be achieved in a system operating at production speeds in a mill.  aclassification  awood  aMadeira  aClassificação  aReflectância difusa  aSpectral reflectance1 aBRUNNER, C. C.1 aMARISTANY, A. G.1 aBUTLER, D. A.  tSeparata de: Wood and Fiber Sciencegv. 28, n. 1, p. 74-90, 1996.