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基于高光谱成像技术的配方烟丝组分判别
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梅吉帆, 李智慧,李嘉康,苏子淇,徐 波,堵劲松,徐大勇,李华杰 1. 中国烟草总公司郑州烟草研究院 烟草工艺重点实验室河南 郑州 4500012. 福建中烟工业有限责任公司 福建 厦门 361021 
中文摘要:应用近红外(1 000~2 200 nm)高光谱成像技术开展了面对像素、面对样本的配方烟丝 4种组分(叶 丝、梗丝、薄片丝、膨胀丝) 的判别研究。以样本高光谱图像的所有像素点光谱数据进行面对像素的组分判 别;以样本所有像素点的平均光谱数据进行面对样本的组分判别。采用二阶导数法结合萨维茨基-戈莱平滑 (SG)滤波对光谱数据进行预处理。通过面对像素数据的主成分分析,证实了基于面对像素的高光谱数据进行 组分判别的可行性,以前5主成分建立的支持向量机模型很好地实现了叶丝与梗丝、叶丝与薄片丝的判别任 务。建立了面对样本的4组分的K近邻和支持向量机判别模型,通过连续投影算法和二阶导数法进行特征波 长选择,筛选出具有高判别准确率的波段,组分判别率达86. 97%。
中文关键词:配方烟丝  组分判别  近红外高光谱成像技术  像素分类  主成分分析  连续投影算法  二阶导 数法
 
Components Discrimination for Formula Tobacco Based on Hyperspectral Imaging
Abstract:Near-infrared(1 000-2 200 nm)hyperspectral imaging technique was applied to the dis? crimination of components in formula tobacco,including cut lamina,cut stem,expanded tobacco and reconstituted tobacco. Two approaches,named pixel-wise and object-wise,were investigated to con? duct this research. The pixel-wise components discrimination study was based on the spectral data of all pixels of the hyperspectral images of samples. Second derivative coupled with Savitzky-Golay (SG)algorithm was applied as preprocessing method for original spectral data. Through principal component analysis of the pixel data,the feasibility for component discrimination of the pixel hyper? spectral data was confirmed. The established support vector machine(SVM)model based on first five components' data showed its excellent character in discriminating cut lamina and cut stem,cut lamina and reconstituted tobacco,obtaining intuitive discrimination results. The K-nearest neighbor and sup? port vector machine discriminant model for the four components of samples was established. The char? acteristic wavelength was selected by the continuous projection algorithm and the second derivative method,and the band with high discrimination accuracy was selected,with a component discrimina? tion rate reached 86. 97%.
Key Words:formula tobacco  components discrimination  near-infrared hyperspectral imaging  pixel-wise classification  principal component analysis  successive projection algorithm  second deri? vate method
引用本文:梅吉帆, 李智慧,李嘉康,苏子淇,徐 波,堵劲松,徐大勇,李华杰.基于高光谱成像技术的配方烟丝组分判别[J].分析测试学报,2021,40(8):1151-1157.
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