Rapid Classification of Softwood and Hardwood by Near Infrared Spectroscopy of Wood Tangential Section
Rapid Classification of Softwood and Hardwood by Near Infrared Spectroscopy of Wood Tangential Section
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DOI：
10.4028/www.scientific.net/amm.157-158.1624
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发表时间：
2012-02
期刊：
影响因子：
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通讯作者：
Zhong Yang;Ya Na Liu;B. Lv;Xuedan Xie
中科院分区：
文献类型：
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作者：
Zhong Yang;Ya Na Liu;B. Lv;Xuedan Xie
由于木材资源短缺，制造商经常使用针叶木和硬木混合的木材原料。加工过程中针叶木和硬木的快速分类和比例预测对于质量控制非常重要。本文研究了近红外光谱（NIR）快速分类针叶木和硬木的可行性。结果表明：1）校准集样本的分类准确率为100%。 NIR预测值与真实类别变量值之间的相关系数(r)为0.98～0.99，SEC较低为0.06～0.11； 2）对未知样本的分类准确率为100%。有人建议近红外光谱可用于快速、准确地对软木和硬木样品进行分类。
Due to the shortage of wood resource, manufacturers often use the wood raw materials mixed with softwood and hardwood. Rapid classification and ratio prediction of softwood and hardwood during processing is important to quality control. The feasibility on rapid classification of softwood and hardwood by near infrared spectroscopy (NIR) was investigated in this paper. The results showed that: 1) the classification accuracy of the calibration set samples was 100%. The correlation coefficient (r) between the NIR predicted and the true category variable value was 0.98～0.99 with low SEC of 0.06～0.11; 2) the classification accuracy to the unknown samples was 100%. It was suggested that near infrared spectroscopy can be used to rapidly and accurately classify softwood and hardwood samples.