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Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer

文献类型：期刊论文

作者Shan, Peng1; Zhao, Yuhui2; Wang, Qiaoyun1; Ying, Yao1; Peng, Silong3
刊名SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
出版日期2020-02-15
卷号227页码:16
关键词Calibration transfer Principal component analysis (PCA) Kernel principal component analysis (KPCA) Multivariate calibration Joint spectral subspace Partial least squares (PLS)
ISSN号1386-1425
DOI10.1016/j.saa.2019.117653
通讯作者Shan, Peng(peng.shan@neuq.edu.cn)
英文摘要To transfer a calibration model in the case where only the master and slave spectra of standardization samples are available, principal component analysis (PCA) and kernel principal component analysis (KPCA) based joint spectral space (termed as JPCA or JKPCA) methods are proposed. As a feature subspace shared by master and slave spectra, the joint spectral subspace in JPCA and JKPCA are the projection of the joint spectral matrix comprising all the spectra of standardization by utilizing PCA and KPCA, respectively. The two corresponding low-dimensional feature matrices for master and slave spectra are extracted from the joint spectral subspace, and then a transfer matrix is estimated based on the least square criterion. In JKPCA, a partial least squares (PLS) model, named the primary model, is constructed using the low-dimensional feature matrix of master calibration spectra, and the model is then used to predict the transferred low-dimensional feature matrix of slave test spectra. Different from JKPCA, JPCA firstly reconstructs master calibration spectra and transferred slave test spectra, respectively. Then the primary model built on the reconstructed version of master calibration spectra is applied to predict the reconstructed version of transferred slave test spectra. A comparative study of the two proposed methods, multiplicative scatter correction (MSC), orthogonal signal correction (OSC), piecewise direct standardization (PDS), canonical correlation analysis based calibration transfer (CCACT), generalized least squares (GLS), slope and bias correction (SBC) and spectral space transformation (SST) is conducted on two datasets. All the statistical results together exhibit that the transfer ability of JKPCA is the best. Except JKPCA, JPCA performs at least comparable with the GLS or SST, and frequently better than the other methods. (C) 2019 Elsevier B.V. All rights reserved.
WOS关键词NEAR-INFRARED SPECTRA ; ORTHOGONAL SIGNAL CORRECTION ; LEAST-SQUARES REGRESSION ; SCATTER CORRECTION ; MULTIVARIATE CALIBRATIONS ; STANDARDIZATION ; SPECTROSCOPY ; IMPROVEMENT ; MODEL ; EXTRACTION
资助项目National Natural Science Foundation of China[61601104] ; Natural Science Foundation of Hebei Province[F2017501052] ; Natural Science Foundation of Hebei Province[F2019501025]
WOS研究方向Spectroscopy
语种英语
WOS记录号WOS:000504050600066
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Hebei Province
源URL[http://ir.ia.ac.cn/handle/173211/29479]  
专题自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
通讯作者Shan, Peng
作者单位1.Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
2.Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Shan, Peng,Zhao, Yuhui,Wang, Qiaoyun,et al. Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer[J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY,2020,227:16.
APA Shan, Peng,Zhao, Yuhui,Wang, Qiaoyun,Ying, Yao,&Peng, Silong.(2020).Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer.SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY,227,16.
MLA Shan, Peng,et al."Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer".SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 227(2020):16.

入库方式： OAI收割

来源：自动化研究所

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