文献类型：期刊文献

中文题名：装饰纸表面视觉特征分类的可见光光谱分析

英文题名：Visible Spectroscopy Analysis on Surface Visual Characteristics of Decorative Paper

作者：杨忠[1] 张毛毛[1] 吕斌[1] 庞晓宇[1]

第一作者：杨忠

机构：[1]中国林科院木材工业研究所

年份：2014

卷号：28

期号：5

起止页码：32-35

中文期刊名：木材工业

外文期刊名：China Wood Industry

收录：CSTPCD;;北大核心:【北大核心2011】；

基金：国家质量监督检验检疫总局公益性行业科研专项经费项目"双打中林业相关产品检验鉴定技术研究"(2012104006)

语种：中文

中文关键词：人造板;装饰纸;视觉特征;可见光光谱;分类

外文关键词：wood-based panels; decorative paper; visual characteristics; visiblespectroscopy; classification

分类号：TS664.02

摘要：应用可见光光谱分析技术,进行装饰纸表面视觉特征的快速分类,探讨此技术代替传统人工目测评定和测色仪评定方法的可行性。对6类装饰纸的可见光光谱数据进行建模,并比较光谱预处理的影响。结果表明:利用原始光谱对装饰纸进行分类,判别正确率达93%～100%;光谱经多元散射校正和标准正态变量校正预处理后,正确率进一步提高至97%～100%。
A method of visible spectroscopy analysis technology was used to evaluate the visualcharacteristics on the surface of decorative paper in order to explore the feasibility of visiblespectroscopy instead of traditional human＇s visual assessment and instrument measurement to classify decorative paper. The classification models were established by visible spectroscopy data from six types of decorative paper using the methods of partial least squares discriminant analysis （PLS-DA）, and the classification accuracy derived from different spectral pretreatment methods were compared. The results showed that the classification accuracy based on raw spectra was 93 ~100%. The accuracy using multiplicative scatter correction （MSC） and standard normalized variate （SNV） pretreated spectra was up to 97%~100%.