Detection, Classification, and Quantification in Hyperspectral Images Using Classical Least Squares Models

Techniques and Applications of Hyperspectral Image Analysis

Volumn , Issue , 2007, Pages 181-202

  Gallagher, Neal B ^a  

^a EIGENVECTOR RESEARCH INC   (United States)

Author keywords

Classical least squares (CLS) model; Hyperspectral image analysis (HIA); Instrument based pixel to pixel variability; Multivariate curve resolution (MCR); Multivariate image (MI) analysis; Principal component regression (PCR); Window target factor analysis (WTFA)

Indexed keywords

EID: 48749129225     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470010884.ch8     Document Type: Chapter

References (34)

1. Anderson, T. W. (1971) An Introduction to Multivariate Statistical Analysis, 2nd Edn, John Wiley & Sons, Ltd, New York.
2. Andrew, J. J. and Hancewicz, T. M. (1998) Rapid Analysis of Raman Image Data Using Two-Way Multivariate Curve Resolution, Appl. Spectrosc., 52(6), 797-807.
3. Bänninger, D. and Flühler, H. (2004) Modeling Light Scattering at Soil Surfaces, IEEE Trans. Geosci. Remote Sens., 42(7), 1462-1471.
4. Brown, C. D. (2004) Discordance between Net Analyte Signal Theory and Practical Multivariate Calibration, Anal. Chem., 76(15), 4364-4373.
5. Budevska, B. O., Sum, S. T. and Jones, T. J. (2003) Application of Multivariate Curve Resolution for Analysis of FT-IR Microspectroscopic Images of in Situ Plant Tissue, Appl. Spectrosc., 57(2), 124-131.
6. Burger, J. and Geladi, P. (2005) Hyperspectral NIR Image Regression. Part I: Calibration and Correction, Journal of Chemometrics, 19(5-7), 355-363.
7. Chang, C. I. and Chiang, S. S. (2002) Anomaly Detection and Classification for Hyperspectral Imagery, IEEE Trans. Geosci. Remote Sens., 40(6), 1314-1325.
8. Cipar J. J., Meidunas, E. and Bassett, E. (2002) A Comparison of End Member Extraction Techniques, Proc. SPIE, 4725, 1-9.
9. Draper, N. and Smith, H. (1981) Applied Regression Analysis, 2nd Edn, John Wiley & Sons, Ltd, New York.
10. Feudale, R. N., Woody, N. A., Tan, H., Myles, A. J., Brown, S. D. and Joan Ferre, J. (2002) Transfer of Multivariate Calibration Models: a Review, Chem. Intell. Lab. Sys., 64(2), 181-192.
11. Funk C. C., Theiler, J., Roberts, D. A. and Borel, C. C. (2001) Clustering to Improve Matched Filter Detection of Weak Gas Plumes in Hyperspectral Thermal Imagery, IEEE Trans. Geosci. Remote Sens., 39(7), 1410-1420.
12. Gallagher, N. B., Wise, B. M. and Sheen. D. M. (2003a) Estimation of Trace Vapor Concentration-Pathlength in Plumes for Remote Sensing Applications from Hyperspectral Images, Anal. Chim. Acta, 490, 139-152.
13. Gallagher, N. B., Shaver, J. M., Martin, E. B., Morris, J., Wise, B. M. and Windig, W. (2003b) Curve Resolution for Images with Applications to TOF-SIMS and Raman, Chem. Intell. Lab. Sys., 77(1), 105-117.
14. Gallagher, N. B., Sheen, D. M., Shaver, J. M., Wise, B. M. and Shultz, J. F. (2003c) Estimation of Trace Vapor Concentration-Pathlength in Plumes for Remote Sensing Applications from Hyperspectral Images, SPIE Proc., 5093, 184-194.
15. Gallagher, N. B, Blake, T. A. and Gassman, P. L. (2005) Application of Extended Multiplicative Scatter Correction to mid-Infrared Reflectance Spectroscopy of Soil, J. Chem., 19(5-7), 271-281.
16. Gemperline, P. J. (1999) A Method for Computing the Range of Feasible Profiles Estimated by Self-modeling Curve Resolution, Anal. Chem., 71, 5398-5404.
17. Griffiths, P. R. (1996), Letter: Practical Consequences of Math Pre-treatment of Near Infrared Reflectance Data: log(1/R) vs F(R), J. Near Infrared Spectrosc., 3, 60-62.
18. Haaland, D. M. and Melgaard, D. K. (2002) New Augmented Classical Least Squares Methods for Improved Quantitative Spectral Analyses, Vib. Spectrosc., 29, 171-175.
19. Hapke, B. (1993) Theory of Reflectance and Emittance Spectroscopy, Cambridge University Press, New York.
20. Hayden, A., Niple, E. and Boyce, B. (1996) Determination of Trace-Gas Amounts in Plumes by the Use of Orthogonal Digital Filtering of Thermal Emission Spectra, Appl. Opt., 35(16), 2802-2809.
21. Jackson, J. E. (1991) A User's Guide to Principal Components, John Wiley & Sons, Ltd, New York.
22. Lohnes, M. T., Guy, R. D. and Wentzell, P. D. (1999) Window Target-testing Factor Analysis: Theory and Application to the Chromatographic Analysis of Complex Mixtures with Multiwavelength Fluorescence Detection, Anal. Chim. Acta, 389, 95-113.
23. Lorber A. (1986) Error Propagation and Figures of Merit for Quantification by Solving matrix Equations, Anal. Chem., 58, 1167-1172.
24. Manne, R. (1995) On the Resolution Problem in Hyphenated Chromatography, Chem. Intell. Lab. Sys., 27, 89-94.
25. Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979) Multivariate Analysis, Academic Press, San Diego.
26. Martens, H. and Næs, T. (1989) Multivariate Calibration, John Wiley & Sons, Ltd, New York.
27. Martens, H., Nielsen, J. P. and Engelsen, S. B. (2003) Light Scattering and Light Absorbance Separated by Extended Multiplicative Signal Correction. Application to Near-infrared Transmission Analysis of Powder Mixtures, Anal. Chem., 75, 394-404.
28. Nascimento, J. M. P. and Bioucas Dias, J. M. (2005) Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data? IEEE Trans. Geosci. Remote Sens., 43(1), 175-187.
29. Sanchez, E. and Kowalski, B. R. (1988) Tensorial Calibration: I. First Order Calibration, J. Chemom., 2, 247-263.
30. Smilde, A., Bro, R. and Geladi, P. (2004) Multi-way Analysis with Applications in the Chemical Sciences, John Wiley & Sons, Ltd, New York.
31. Tauler, R. (2001) Calculation of Maximum and Minimum Band Boundaries of Feasible Solutions for Species Profiles Obtained by Multivariate Curve Resolution, J. Chemom., 15, 627-646.
32. Wang, Y., Lysaght, M. J. and Kowalski, B. R. (1992) Improvement of Multivariate Calibration Through Instrument Standardization, Anal. Chem., 64, 562-564.
33. Winter, M. E. (1999) Fast Autonomous Spectral End-member Determination in Hyperspectral Data, Proceedings of the Thirteenth International Conference on Applied Geologic Remote Sensing, Altarum Geologic Conferences, ERIM International, Inc., Ann Arbor, MI, Vol. II, pp. 337-344.
34. Wülfert, F., Kok, W. T. and Smilde, A. K. (1998) Influence of Temperature on Vibrational Spectra and Consequences for the Predictive Ability of Multivariate Models, Anal. Chem., 70, 1761-1767.