메뉴 건너뛰기




Volumn 20, Issue 3-4, 2006, Pages 106-119

Hyperspectral NIR image regression part II: Dataset preprocessing diagnostics

Author keywords

Hyperspectral images; Multivariate image regression; Partial least squares modeling; Regression model validation; Spectral preprocessing

Indexed keywords

ERRORS; FORECASTING; IMAGE SEGMENTATION; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS;

EID: 33947120689     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.986     Document Type: Article
Times cited : (70)

References (19)
  • 1
    • 32444451010 scopus 로고    scopus 로고
    • Hyperspectral NIR image regression part I: Calibration and correction
    • Burger J, Geladi P. Hyperspectral NIR image regression part I: calibration and correction. J. Chemometr. 2005; 19: 355-363.
    • (2005) J. Chemometr , vol.19 , pp. 355-363
    • Burger, J.1    Geladi, P.2
  • 2
    • 85153985545 scopus 로고    scopus 로고
    • Spectralon Diffuse Reflectance Targets,Labsphere, Inc., PO Box70, 231 Shaker Street, North Sutton, NH 03260, USA.
    • Spectralon Diffuse Reflectance Targets,Labsphere, Inc., PO Box70, 231 Shaker Street, North Sutton, NH 03260, USA.
  • 6
    • 0026591475 scopus 로고
    • The H-principle in modelling with applications to chemometrics
    • Höskuldsson A. The H-principle in modelling with applications to chemometrics. Chemometrics Intell. Lab. Syst. 1992; 14: 139-153.
    • (1992) Chemometrics Intell. Lab. Syst , vol.14 , pp. 139-153
    • Höskuldsson, A.1
  • 7
    • 0037185468 scopus 로고    scopus 로고
    • Graphical diagnostics for regression model determinations with consideration of the bias/variance trade-off
    • Kalivas J, Green R. Graphical diagnostics for regression model determinations with consideration of the bias/variance trade-off. Chemometrics Intell. Lab. Syst. 2002; 60: 173-188.
    • (2002) Chemometrics Intell. Lab. Syst , vol.60 , pp. 173-188
    • Kalivas, J.1    Green, R.2
  • 8
    • 0024829614 scopus 로고
    • Tissue discrimination in magnetic resonance imaging: A predictive multivariate approach
    • Grahn H, Szeverenyi N, Roggenbuck M, Geladi P. Tissue discrimination in magnetic resonance imaging: a predictive multivariate approach. Chemometrics Intell. Lab. Syst. 1989; 7: 87-93.
    • (1989) Chemometrics Intell. Lab. Syst , vol.7 , pp. 87-93
    • Grahn, H.1    Szeverenyi, N.2    Roggenbuck, M.3    Geladi, P.4
  • 9
    • 0027991651 scopus 로고
    • Multiwavelength microscopic image-analysis of a piece of painted chinaware - classification and regression
    • Geladi P, Swerts J, Lindgren F. Multiwavelength microscopic image-analysis of a piece of painted chinaware - classification and regression. Chemometrics Intell. Lab. Syst. 1994; 24: 145-167.
    • (1994) Chemometrics Intell. Lab. Syst , vol.24 , pp. 145-167
    • Geladi, P.1    Swerts, J.2    Lindgren, F.3
  • 10
    • 0030952543 scopus 로고    scopus 로고
    • Diffuse reflectance absorbance spectroscopy taking in chemometrics (DRASTIC). A hyperspectral FT-IR based approach to rapid screening for metabolite overproduction
    • Winson M, Goodacre R, Timmins E, Jones A, Alsberg B, Woodward A, Rowland J, Kell D. Diffuse reflectance absorbance spectroscopy taking in chemometrics (DRASTIC). A hyperspectral FT-IR based approach to rapid screening for metabolite overproduction. Anal. Chim. Acta. 1997; 348: 273-282.
    • (1997) Anal. Chim. Acta , vol.348 , pp. 273-282
    • Winson, M.1    Goodacre, R.2    Timmins, E.3    Jones, A.4    Alsberg, B.5    Woodward, A.6    Rowland, J.7    Kell, D.8
  • 11
    • 0013362740 scopus 로고    scopus 로고
    • Digital imaging for online monitoring and control of industrial snack food processes
    • Yu H, Macgregor J, Haarsma G, Bourg W. Digital imaging for online monitoring and control of industrial snack food processes. Indust. Eng. Chem. Res. 2003; 42: 3036-3044.
    • (2003) Indust. Eng. Chem. Res , vol.42 , pp. 3036-3044
    • Yu, H.1    Macgregor, J.2    Haarsma, G.3    Bourg, W.4
  • 12
    • 3042801723 scopus 로고    scopus 로고
    • Monitoring flames in an industrial boiler using multivariate image analysis
    • Yu H, Macgregor J. Monitoring flames in an industrial boiler using multivariate image analysis. Aiche J. 2004; 50: 1474-1483.
    • (2004) Aiche J , vol.50 , pp. 1474-1483
    • Yu, H.1    Macgregor, J.2
  • 14
    • 85153994310 scopus 로고    scopus 로고
    • Spectral Dimensions, Inc., 3416 Olandwood Court, Suite 210, Olney, MD 20832, USA.
    • Spectral Dimensions, Inc., 3416 Olandwood Court, Suite 210, Olney, MD 20832, USA.
  • 16
    • 0042553279 scopus 로고
    • Smoothing and differentiation of data by simplified least squares procedures
    • Savitzky A, Golay M. Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 1964; 36: 1627-1639.
    • (1964) Anal. Chem , vol.36 , pp. 1627-1639
    • Savitzky, A.1    Golay, M.2
  • 17
    • 0345591924 scopus 로고
    • Comments on smoothing and differentiation of data by simplified least squares procedures
    • Steiner J, Termonia Y, Deltour J. Comments on smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 1972; 44: 1906-1909.
    • (1972) Anal. Chem , vol.44 , pp. 1906-1909
    • Steiner, J.1    Termonia, Y.2    Deltour, J.3
  • 18
    • 33947093072 scopus 로고
    • Comments on smoothing and differentiation of data by simplified least squares procedures
    • Madden H. Comments on smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 1978; 50: 1383-1386.
    • (1978) Anal. Chem , vol.50 , pp. 1383-1386
    • Madden, H.1
  • 19
    • 33749061750 scopus 로고    scopus 로고
    • Hyperspectral NIR imaging for calibration and prediction: A comparison between image and spectrometer data for studying organic and biological samples
    • DOI: 10.1039/b605386f
    • Burger J, Geladi P. Hyperspectral NIR imaging for calibration and prediction: a comparison between image and spectrometer data for studying organic and biological samples. The Analyst 2006; DOI: 10.1039/b605386f.
    • (2006) The Analyst
    • Burger, J.1    Geladi, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.