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| 近红外光谱用于杉木木材强度分等的研究 | |
| 作者姓名： | Wang XX Huang AM Yang Z Yang Y |
| 作者单位： | 1. 北京林业大学,北京,100083 2. 中国林业科学研究院木材工业研究所,北京,100091 3. 北京林业大学,北京,100083;中国林业科学研究院木材工业研究所,北京,100091 |
| 基金项目： | 北京市自然科学基金项目,国际竹藤网络中心基本科研业务费专项基金 |
| 摘 要： | 利用近红外光谱技术对木材强度分等进行了研究.选择 1000～1400 nm波段,结合偏最小二乘法,在木材强度和近红外光谱数据间建立了校正模型,校正模型的相关系数(r)为0.89,校正标准误差(SEC)为6.30 MPa.利用校正模型对35个未知样品的强度进行预测,根据近红外预测值和实测值分别对木材样品进行分等,A级预测... |
| 关 键 词： | 近红外光谱 木材 分等 |
Study on the wood grading by near infrared spectroscopy |
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| Wang XX,Huang AM,Yang Z,Yang Y.Study on the wood grading by near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2011,31(4):975-978. | |
| Authors: | Wang Xiao-Xu Huang An-Min Yang Zhong Yang Yao |
| Institution: | Beijng Forestry University, Beijing 100083, China |
| Abstract: | The present paper discussed wood grading according to modulus of rupture (MOR) by near infrared (NIR) spectroscopy. The calibration model was built between MOR of wood and NIR data in the range of 1 000-1 400 nm with partial least square regression (PLS). The correlation coefficient (r) was 0.89 and the standard error of calibration (SEC) was 6.30 MPa. The MOR of 35 unknown samples was predicted using the model. Wood samples were graded according to their predicted values and true values. The rate of right prediction for A, B and C was 75.0%, 91.3% and 80.0% respectively, and the whole rate of right prediction was 88.6%. The result has proved that near infrared spectroscopy is a fast method for the determination of wood grade in the small clear samples. |
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