高光谱结合化学计量学对粉底液的分类检验研究  

Nondestructive Detection of Foundation Fluid by Hyperspectral Spectrum Combined with Neural Network Learning

作　　者：倪昕蕾 李春宇[1] 姜红 孔维刚[3] Ni Xinlei;Li Chunyu;Jiang Hong;Kong Weigang(School of Investigation,People’s Public Security University of China,Beijing 100038,China;Criminal Investigation Department Gansu Police Vocational College,Lanzhou 730046,China;Institute of Criminal Science and Technology,Zhengzhou Public Security Bureau,Zhengzhou 450000,China)

机构地区：[1]中国人民公安大学侦查学院,北京100038 [2]甘肃警察职业学院刑事侦查系,甘肃兰州730046 [3]郑州市公安局刑事科学技术研究所,河南郑州450000

出　　处：《实验与分析》2024年第1期54-60,共7页LABOR PRAXIS

摘　　要：为建立一种快速、无损的粉底液分类方法,将市面上随机收集的50个不同品牌、不同色号、不同产地、不同价位的粉底液在高光谱模式下选取波长范围在400~600nm进行无损检测,每组样本选取随机点位各测3次,共测得150组数据。将光谱数据采用Savitzky-Golay平滑处理,主成分分析对数据进行特征值提取,选取前7个主成分作为后续实验数据集;借助K-Means聚类法对150组数据分类,50个粉底液被分成5类,由Fisher判别式验证分类效果;最后以聚类结果为依据建立BP神经网络模型(BPNN),分类准确率达到88.89%,效果良好。研究表明BP神经网络结合高光谱技术自动识别、分类粉底液具有可行性和科学性,在公安机关物证检验及法庭科学上可发挥有效作用。In order to establish a non-destructive and rapid method of foundation fluid testing and classification,50 randomly collected foundation fluids with different colors,different origins and different prices on the market were selected in a wavelength range of 400~600nm for NDT in hyperspectral mode.Random points of each sample were selected for 3 times,and a total of 150 sets of data were measured.The spectral data were smoothed by Savitzky-Golay,and the feature values were extracted by principal component analysis,and the top 7 principal components were selected as subsequent experimental data sets;150 groups of data were classified by K-Means clustering method,50 foundation were divided into 5 categories,and the classification effect was verified by Fisher discriminant;finally,BP neural network model(BPNN)was established based on the clustering results,and the classification accuracy reached 88.89%with good results.The research shows that BP neural network combined with hyperspectral technology can be feasible and scientific,and can play an effective role in the inspection of material evidence in public security organs and court science.

关 键 词：高光谱 粉底液 主成分分析 K-MEANS聚类 BP神经网络 分类自动化 

分 类 号：DF795.2[医药卫生—法医学]