Influence of wavelength selection and data preprocessing on near-infrared-based classification of demolition waste

被引:13
作者
de Groot, PJ [1 ]
Postma, GJ [1 ]
Melssen, WJ [1 ]
Buydens, LMC [1 ]
机构
[1] Univ Nijmegen, Analyt Chem Lab, NL-6525 ED Nijmegen, Netherlands
关键词
preprocessing; diffuse near-infrared reflectance spectroscopy; wavelength (feature) selection; simulated annealing; classification of demolition waste;
D O I
10.1366/0003702011951470
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The separation of demolition waste into three fractions--wood (required purity >90%), plastic (required purity >80%), and stone (no requirement)--has been investigated. The materials are measured with diffuse near-infrared reflectance spectroscopy and classified with linear discriminant analysis (LDA). To speed up the classification, simulated annealing extracts the six most discriminating wavelength regions for each preprocessing technique. For improvement in the classification results, several preprocessing techniques are investigated. Both the reflectance R and log 10(1/R) are investigated. The influence of the so-called wavelength shift (radiation that does not pass a filter perpendicular and shifts maximally 6 nm to lower wavelength) is accounted for during wavelength selection. preprocessing methods that remove spectral offset differences and remove differences in peak heights give the best classification improvement. R Modified standard normal variate (SNV) preprocessing, applied on the reflectance R, is the best preprocessing technique. The modification is the addition of the mean spectral value after the application of standard SNV preprocessing. The mean spectral value contains some additional information that is used by the (LDA) algorithm to improve the classification performance, The influence of the so-called wavelength shift effect is minimal.
引用
收藏
页码:173 / 181
页数:9
相关论文
共 38 条
  • [11] DILLON WR, 1984, MULTIVARIATE ANAL ME, pCH10
  • [12] On-line post consumer package identification by NIR spectroscopy combined with a FuzzyARTMAP classifier in an industrial environment
    Feldhoff, R
    Wienke, D
    Cammann, K
    Fuchs, H
    [J]. APPLIED SPECTROSCOPY, 1997, 51 (03) : 362 - 368
  • [13] Rapid identification of plastics from electronic devices with NIR-spectroscopy
    Freitag, H
    Huth-Fehre, T
    Cammann, K
    [J]. ANALYTICAL LETTERS, 2000, 33 (07) : 1425 - 1431
  • [14] Gasparian GA, 2000, SPECTROSCOPY, V15, P16
  • [15] Gasparian GA, 2000, SPECTROSCOPY, V15, P14
  • [16] HAEST F, 1997, COMMUNICATION
  • [17] RELATED VERSIONS OF THE MULTIPLICATIVE SCATTER CORRECTION METHOD FOR PREPROCESSING SPECTROSCOPIC DATA
    HELLAND, IS
    NAES, T
    ISAKSSON, T
    [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1995, 29 (02) : 233 - 241
  • [18] Howard WW, 1998, APPL SPECTROSC, V52, P17
  • [19] NIR - REMOTE-SENSING AND ARTIFICIAL NEURAL NETWORKS FOR RAPID IDENTIFICATION OF POST CONSUMER PLASTICS
    HUTHFEHRE, T
    FELDHOFF, R
    KANTIMM, T
    QUICK, L
    WINTER, F
    CAMMANN, K
    VANDENBROEK, W
    WIENKE, D
    MELSSEN, W
    BUYDENS, L
    [J]. JOURNAL OF MOLECULAR STRUCTURE, 1995, 348 : 143 - 146
  • [20] PIECE-WISE MULTIPLICATIVE SCATTER CORRECTION APPLIED TO NEAR-INFRARED DIFFUSE TRANSMITTANCE DATA FROM MEAT-PRODUCTS
    ISAKSSON, T
    KOWALSKI, B
    [J]. APPLIED SPECTROSCOPY, 1993, 47 (06) : 702 - 709