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Pre-processing of NIR Åsmund Rinnan.

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Presentation on theme: "Pre-processing of NIR Åsmund Rinnan."— Presentation transcript:

1 Pre-processing of NIR Åsmund Rinnan

2 Introduction NIR Fructose Glucose 25 50 75 75 50 25

3 Introduction NIR Baseline with a slope/ curve Nonlinearity
Fructose Glucose 25 50 75 75 50 25 A “fat” baseline

4 Introduction Techniques
Reference dependent O-PLS OSC OS SIS Reference independent MSC/ ISC EMSC/ EISC SNV Detrend Normalization Savitzky-Golay Norris-Williams Finite difference

5 Introduction Techniques
Correction of light scatter MSC EMSC Detrend SNV Derivation Finite difference Savitzky-Golay

6 Effect of pre-processing Before
Specular effect

7 Effect of pre-processing After

8 MSC Raw Reference

9 MSC Raw Reference

10 MSC Raw spectrum b = Slope a = Intercept Reference
P Geladi, D MacDougal, H Martens (1985): Linearization and scatter correction for near-infrared reflectance spectra of meat, Applied Spectroscopy, 39,

11 MSC

12 Extended MSC Wavelength Slope & Intercept Known spectra correction = =
Basic MSC = Detrend H. Martens, E. Stark (1991): Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy, Journal of Pharmaceutical and Biomedicinal Analysis, 9,

13 Extended MSC The correction Calculated Step 1: Step 2:
H. Martens, E. Stark (1991): Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy, Journal of Pharmaceutical and Biomedicinal Analysis, 9,

14 X X Extended MSC Summary Parameter setting Paraemter setting MSC
Detrend

15 SNV R.J. Barnes, M.S. Dhanoa, S.J. Lister (1989): Standard Normal Variate Transformation and De-trending of Near-Infrared Diffuse Reflectance Spectra, Applied Spectroscopy, 43,

16 SNV vs MSC MSC SNV

17 SNV vs. MSC Classificafication of barley

18 SNV vs. MSC SNV MSC Normalization Reference needed No reference
Outlier sensitive Only similar spectra No normalization

19 Derivation

20 Derivation Finite difference

21 Savitzky-Golay vs. Finite difference
Derivative Method 1 2 3 4 1st SG 0.38 (5) 0.40 (5) 0.47 (6) 0.46 (3) Finite difference 0.34 (5) 0.58 (4) 0.73 (4) 2nd 0.34 (6) 0.51 (4) 0.67 (5) 0.72 (4) 0.88 (5) 0.91 (5) 0.42 (6)

22 Derivation Savitzky-Golay
A Savitsky, M J E Golay (1964): Smoothing and differentiation of data by simplified least squares procedures, Analytical Chemistry, 36 (8),

23 Derivation Savitzky-Golay
Smoothing 11 9 7 5 3 A Savitsky, M J E Golay (1964): Smoothing and differentiation of data by simplified least squares procedures, Analytical Chemistry, 36 (8),

24 Derivation Savitzky-Golay
Smoothing Polynomial 7 4 2 5 1 3 A Savitsky, M J E Golay (1964): Smoothing and differentiation of data by simplified least squares procedures, Analytical Chemistry, 36 (8),

25 Derivation Savitzky-Golay
7 point smoothing 15 point smoothing 2nd order derivative

26 Summary Pre-processing of NIR
Run the following for near to optimal results MSC with Only 1st order reference correction or SNV 1st order reference correction and 2nd order wavelength correction Only 2nd order wavelength correction Savitzky-Golay derivation with 2nd order polynomial smoothing 7 points smoothing for the 1st derivative 9 points smoothing for the 2nd derivative

27 Compression factor Barley data
Pre-processing MB MH Raw 0.0 % MSC1 88.0 % 90.4 % MSC2 92.3 % 94.4 % SNV SNV + Detrend 90.9 % 93.9 % SG1 91.6 % 92.8 % SG2 93.3 %


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