木材不同切面的近红外光谱信息与密度快速预测

用近红外光谱对木材密度进行了研究。发现木材三个不同切面(横切面、径切面、弦切面)的近红外光谱有较大的差异;结合偏最小二乘法(PLS)，根据三个切面采集到的光谱数据与木材密度建立了校正模型，横切面预测集的相关系数r为0.94，径切面和弦切面分别为0.85和0.81。结果表明，从横切面采集到的光谱建立的预测模型效果最好。用该模型对随机抽取、未参与建模的15个样品的密度进行了预测，r2=0.977, 标准偏差：STDEV=0.006。

Near Infrared Spectroscopy of Wood Sections and Rapid Density Prediction

In the present report,the use of calibrated near infrared(NIR) spectroscopy for rapid prediction of solid wood density is described.NIR spectra were obtained from the three sections(cross,radial and tangential section) of each Chinese fir sample.The authors found that the spectra of the three sections are different and the correlation coefficients between the laboratory-(determined) density and the NIR-fitted data are different,too.The prediction results showed that the model based on NIR spectra taken from the cross section is the best, and the correlation coefficients are 0.94(cross),0.85(radial) and 0.81(tangential),respectively.Using the cross model to predict the density of unknown wood samples,we can see: r~2 is 0.977 and the standard deviation(STDEV) is only 0.006.