文献类型：期刊文献

英文题名：Classifications of Decorative Paper using Differential Reflection Spectrophotometry Coupled with Soft Independent Modeling of Class Analogy

作者：Yang, Zhong[1] Zhang, Maomao[1] Pang, Xiaoyu[1] Lv, Bin[1]

第一作者：杨忠

通信作者：Yang, Z[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China

年份：2014

卷号：9

期号：2

起止页码：2521-2528

外文期刊名：BIORESOURCES

收录：;EI(收录号：20212410499510);Scopus(收录号：2-s2.0-85003651794);WOS:【SCI-EXPANDED(收录号:WOS:000336960700055)】；

基金：The authors are grateful for the support of the China National Natural Science Fund (Grant. No. 31370711), and the support of the Ministry of Science and Technology of the People's Republic of China (Grant. No. 2012104006).

语种：英文

外文关键词：Decorative papers; Classification; Colorimetric parameters; Visible spectroscopy; NIR spectroscopy; SIMCA

摘要：With the rapid development of the decorative papers industry on a worldwide scale, the aesthetic assessment of decorative papers has evolved as one of the major fields for industrial production. This study was performed to investigate the ability of visible spectroscopy and NIR spectroscopy coupled with the soft independent modeling of class analogy (SIMCA) to reflect the surface characteristics of decorative paper and to classify decorative papers with different visual characteristics. The results showed that visible spectroscopy has a higher relationship with the surface characteristics of decorative papers than the NIR data during PCA analysis due to larger variations. Additionally, when using visible spectroscopy (400 to 780 nm), the classification accuracy reached 94% to 100%, a more accurate result than could be achieved based on color data. In the results of the NIR spectroscopy (780 to 2500 nm), the classification accuracy decreased to the range 1% to 56%, except for a value of 95% for the samples that were grained with a slightly dark color, and a greater number of samples were assigned to more than one class. There were significant differences in the performance of the models built with visible spectroscopy and NIR spectroscopy, so it can be concluded that visible spectroscopy coupled with SIMCA is more useful to classify the different types of decorative papers than NIR spectroscopy.