Near-infrared calibration transfer based on spectral regression

被引：48
|
作者：
Peng, Jiangtao [1 ]
Peng, Silong [1 ]
Jiang, An [1 ]
Tan, Jie [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
来源：
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY | 2011年 / 78卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Calibration transfer; Piecewise direct standardization; Spectral regression; ROBUST;
D O I：
10.1016/j.saa.2011.01.004
中图分类号：
O433 [光谱学];
学科分类号：
0703 ; 070302 ;
摘要：
A calibration transfer method for near-infrared (NIR) spectra based on spectral regression is proposed. Spectral regression method can reveal low dimensional manifold structure in high dimensional spectroscopic data and is suitable to transfer the NIR spectra of different instruments. A comparative study of the proposed method and piecewise direct standardization (PDS) for standardization on two benchmark NIR data sets is presented. Experimental results show that spectral regression method outperforms PDS and is quite competitive with PDS with background correction. When the standardization subset has sufficient samples, spectral regression method exhibits excellent performance. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：1315 / 1320
页数：6
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