激光与光电子学进展, 2021, 58 (3): 0330004, 网络出版: 2021-03-12  

基于光谱数据融合技术的手帕纸品牌分类

Classification of Handkerchief Paper Brand Based on Spectral Data Fusion Technology
作者单位
中国人民公安大学侦查学院,北京 100038
摘要
光谱数据融合作为一种新兴的光谱分析技术,可以有效结合不同光谱技术的检出特点。本文将红外光谱指纹区与拉曼光谱信号较强波段数据进行融合,对288个手帕纸样本开展分类研究。采用线性判别分析对189个训练样本建立分类模型,模型的分类结果相比于独立使用红外光谱或拉曼光谱具有显著提升的准确率,但区分效果仍然不理想。利用主成分分析提取35个主成分进行线性判别分析的准确率可达100%。提取测试样本的32个主成分建模,模型的准确率可达到100%,分类结果理想。光谱融合技术为法庭科学领域手帕纸的分类鉴别提供了一种有效工具。
Abstract
Spectral data fusion, an emerging spectral analysis technology, can effectively combine the detection characteristics of different spectrum technologies. The classification of 288 handkerchief paper samples were studied with data fusion of infrared spectrum fingerprint region and strong signal region of Raman spectrum. A classification model was established on 189 training samples by linear discriminant analysis. Compared with the independent use of infrared spectroscopy or Raman spectroscopy, the accuracy was significantly improved. However, the distinguishing effect was still not ideal. The accuracy of 35 principal components extracted by principal components analysis for linear discriminant analysis can reach 100%. The model accuracy of the 32 principal components extracted from test samples reached 100%, and the classification results were ideal. The spectral fusion technology provides an effective tool for the classification and identification of handkerchief paper in the field of forensic science.

季佳华, 王继芬, 何欣龙. 基于光谱数据融合技术的手帕纸品牌分类[J]. 激光与光电子学进展, 2021, 58(3): 0330004. Ji Jiahua, Wang Jifen, He Xinlong. Classification of Handkerchief Paper Brand Based on Spectral Data Fusion Technology[J]. Laser & Optoelectronics Progress, 2021, 58(3): 0330004.

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