| 光谱学与光谱分析 |
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| Research on Model and Wavelength Selection of Near Infrared Spectral Information |
| ZHENG Yong-mei1, ZHANG Jun2, CHEN Xing-dan2, SHEN Xuan-guo1, ZHANG Tie-qiang1 |
1. Physics College, Jilin University, Changchun 130025, China
2. Changchun Institute of Optic, Fine Mechanics and Physics, Changchun 130022, China |
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Abstract Based on stepwise linear regression, and according to the theory of near infrared absorbption, spectrum(1 000-2 500 nm) obtained by detector was divided into three ranges, which were Ⅰ(1 000-1 400 nm) and Ⅱ(1 400-1 860 nm) and Ⅲ(1 860—2 500 nm). In each range the regression wavelengths of different wavelength gaps were picked up stepwise. Regression coefficients and parameters were calculated by Matlab5.3 Program. Regression models were built up in different ranges with different wavelength gaps. Best models could be determined． Prediction results of protein content of ground wheat were displayed in scatter plots. Different results were discussed and compared，which has referencemeaning for application.
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Received: 2002-08-08
Accepted: 2002-12-26
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Corresponding Authors:
ZHENG Yong-mei
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| Cite this article: |
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ZHENG Yong-mei,ZHANG Jun,CHEN Xing-dan, et al. Research on Model and Wavelength Selection of Near Infrared Spectral Information [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(06): 675-678.
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| URL: |
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http://www.gpxygpfx.com/EN/Y2004/V24/I06/675 |
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[2] Phil Williams Kari Norris. Near-Infrared Technology in the Agricultural and Food Industries. Minnesota： The American Association of Cereal Chemists, Inc.，1987.
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