A Preprocessing Algorithm of Corn Infrared Spectrum Based on MSC and DOSC

Jian Zhao; Ji Ming He; Xi Chen; Xiao Qiang Zhu; Jiao Jiao Wu; Guo Tian He

doi:10.4028/www.scientific.net/AMR.734-737.2893

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737A Preprocessing Algorithm of Corn Infrared...

A Preprocessing Algorithm of Corn Infrared Spectrum Based on MSC and DOSC

Abstract:

To characteristics the near infrared spectrum of corn, we proposed a preprocessing algorithm combining multiplicative scatter correction (MSC) and direct orthogonal signal correction (DOSC). In this article, we compared the SG first derivative correction, MSC, DOSC and the new algorithm. And using partial least squares analysis (PLS) built the quantitative analysis model. The results show that the preprocessing algorithm combining with the MSC and DOSC can improve the prediction accuracy of all components. This work has some practical and scientific value.

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Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

2893-2897

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.2893

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Online since:

August 2013

Authors:

Jian Zhao, Ji Ming He, Xi Chen, Xiao Qiang Zhu, Jiao Jiao Wu, Guo Tian He

Keywords:

Direct Orthogonal Signal Correction (DOSC), Multiplicative Scatter Correction (MSC), Near Infrared Spectroscopy (NIRS), Partial Least Squares Analysis (PLS)

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