Moving-window bis-correlation coefficients method for visible and near-infrared spectral discriminant analysis with applications  

作　　者：Lijun Yao Weiqun Xu Tao Pan Jiemei Chen 

机构地区：[1]Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications Department of Optoelectronic Engineering Jinan University,Guangzhou,China [2]Department of Biological Engineering Jinan University,Guangzhou,China

出　　处：《Journal of Innovative Optical Health Sciences》2018年第2期65-77,共13页创新光学健康科学杂志（英文）

基　　金：supported by the Science and Technology Project of Guangdong Province of China(Nos.2014A020213016 and 2014A020212445).

摘　　要：The moving window bis corelation coefficients(MW BiCC)was proposed and employed for the discriminant analysis of transgenic sugarcane leaves and B-thalassemia with visible and near-infrared(Vis NIR)spectroscopy.The well-performed moving window principal component analysis linear discriminant analysis(MWPCA-LDA)was also conducted for comparison.A total of 306 transgenic(positive)and 150 nont ransgenic(negative)leave samples of sugarcane were collected and divided to calibration,prediction,and validation.The diffuse reflection spectra were corected using Savitzky-Golay(SG)smoothing with first-order derivative(d=1),third-degree polynomial(p=3)and 25 smpothing points(m=25).The selected waveband was 736-1054nm with MW-BiCC,and the positive and negative validation recognition rates(V_REC^(+),VREC^(-))were 100%,98.0%,which achieved the same effect as MWPCA-LDA.Another example,the 93 B-thalassemia(positive)and 148 nonthalassemia(negative)of human hemolytic samples were colloctod.The transmission spectra were corrected using SG smoothing withd=1,p=3 and m=53.Using M W-BiCC,many best wavebands were selected(e.g.,1116-1146,17941848 and 22842342nm).The V_REC^(+)and V_REC^(-)were both 100%,which achieved the same effect as MW-PCA-LDA.Importantly,the BICC only required ca lculating correlation cofficients between the spectrum of prediction sample and the average spectra of two types of calibration samples.Thus,BiCC was very simple in algorithm,and expected to obtain more applications.The results first confirmed the feasibility of distinguishing B-thalassemia and normal control samples by NIR spectroscopy,and provided a promising simple tool for large population thalassemia screening.

关 键 词：Visible and near infrared spectroscopic discriminant analysis transgenic sugarcane leaves B-thalassemia moving-window bis-correlation cofficients moving-window principal component analysis linear discriminant analysis. 

分 类 号：TN9[电子电信—信息与通信工程]