| 光谱学与光谱分析 |
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| Influence of Sample Surface Roughness on Mathematical Model of NIR Quantitative Analysis of Wood Density |
| HUANG An-min1,FEI Ben-hua1, JIANG Ze-hui1*, Chung-Yun Hse2 |
1. Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China
2. USDA-Forest Service Alexandria Forestry Center, 2500 Shreveport Highway Pineville,LA,USA 71360 |
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Abstract Near infrared spectroscopy is widely used as a quantitative method, and the main multivariate techniques consist of regression methods used to build prediction models, however, the accuracy of analysis results will be affected by many factors. In the present paper, the influence of different sample roughness on the mathematical model of NIR quantitative analysis of wood density was studied. The result of experiments showed that if the roughness of predicted samples was consistent with that of calibrated samples, the result was good, otherwise the error would be much higher. The roughness-mixed model was more flexible and adaptable to different sample roughness. The prediction ability of the roughness -mixed model was much better than that of the single- roughness model.
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Received: 2007-01-10
Accepted: 2007-04-08
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Corresponding Authors:
JIANG Ze-hui
E-mail: hbham2000@sina.com
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| Cite this article: |
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HUANG An-min,FEI Ben-hua,JIANG Ze-hui, et al. Influence of Sample Surface Roughness on Mathematical Model of NIR Quantitative Analysis of Wood Density[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(09): 1700-1702.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I09/1700 |
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