Apple near Infrared Spectral Preprocessed Based on Wavelet Analysis

Min Li; Qiang Jiang; Xiao Ying Zhang; Li Qun Chen

doi:10.4028/www.scientific.net/AMR.926-930.1775

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Apple near Infrared Spectral Preprocessed Based on...

Apple near Infrared Spectral Preprocessed Based on Wavelet Analysis

Abstract:

The original near infrared spectral (NIR) inevitably includes noise signals and usually has a large amount of data. So de-noising and compression are the main tasks of spectral data pretreatment, in order to improve the accuracy of model prediction and modeling speed. Traditional spectral pretreatment methods have their own limitations in these two aspects. In this paper, the wavelet analysis method was applied to preprocess apple NIR data. Compared with Savitzky-Golay smoothing method and multiple scattering correction , the wavelet method has its own superiority in noise removal and data compression.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

1775-1778

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.1775

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Online since:

May 2014

Authors:

Min Li*, Qiang Jiang, Xiao Ying Zhang, Li Qun Chen

Keywords:

Data Preprocessing, Multiplicative Scatter Correction, Near Infrared Spectroscopy (NIRS), Savitzky-Golay Smoothing, Wavelet Analysis

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