赵 磊,王 远,周 南,贾培兴.太赫兹光谱识别木材的影响因素研究[J].电子测量与仪器学报,2021,35(5):161-167 |
太赫兹光谱识别木材的影响因素研究 |
Research on influencing factors of wood identification by terahertz spectroscopy |
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DOI: |
中文关键词: 木材识别 太赫兹时域光谱 径向变异 不同切面 BP 神经网络 |
英文关键词:wood identification terahertz time-domain spectroscopy radial variation different sections BP neural network |
基金项目:中央高校基本科研业务费专项(2016ZCQ08)资助 |
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中文摘要: |
径向变异和不同切面是影响太赫兹光谱识别木材的重要因素。 为了探讨径向变异和不同切面对太赫兹光谱识别木材
的影响,利用太赫兹时域光谱技术获取杉木和柳杉样品的太赫兹光谱数据,共 600 组木材光谱数据,分析太赫兹光谱,基于 BP
神经网络建立木材识别模型,比较模型预测的正确率。 发现木材样品太赫兹光谱因为径向变异和不同切面而存在差异,预测样
品与建模样品径向部位相同时和不同时的模型预测正确率差异较小,最高正确率达到 96. 25%,预测样品与建模样品切面相同
时和不同时的正确率差异较大。 结果表明,基于太赫兹时域光谱技术能够准确实现木材识别,径向变异对木材识别影响较小,
不同切面对木材识别影响较大。 |
英文摘要: |
Radial variation and different sections are essential factors affecting the identification of wood by terahertz spectroscopy. To
explore the influence of radial deviation and different facets on terahertz spectrum identification of timber, terahertz time-domain
spectroscopy technology was used to obtain terahertz spectrum data of Cunninghamia lanceolata and Cryptomeria fortunei samples, a total
of 600 sets of wood spectrum data, and then the terahertz spectrum were analyzed. A wood recognition model was established based on
BP neural network. The accuracy of model prediction was compared. It was found that the terahertz spectra of wood samples were
different due to radial variation and other sections. The prediction accuracy of the model with the same or different radial positions
between the predicted sample and the modeling sample had little difference, and the highest accuracy was 96. 25%. When the expected
sample and the modeled sample belong to the same and different sections, the difference in accuracy is massive. The results show that
the technology based on terahertz time-domain spectroscopy can accurately realize wood recognition, radial variation has little effect on
wood recognition, and different sections have a more significant impact on wood recognition. |
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