Multivariate Images, Hyperspectral Imaging: Background and Equipment

Techniques and Applications of Hyperspectral Image Analysis

Volumn , Issue , 2007, Pages 1-15

  Geladi, Paul L M ^a   Grahn, Hans F ^b   Burger, James E ^c  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b KAROLINSKA INSTITUTE   (Sweden)

^c Burger Metrics   (Norway)

Author keywords

Analytical image analysis; Liquid crystal tunable filters (LCTFs) and acousto optic tunable filters (AOTFs); Multivariate image and hyperspectral image; Multivariate interactive visualization principles; Plot color coding; Point Scanning Imaging; Principal component analysis (PCA)

Indexed keywords

EID: 84889373804     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470010884.ch1     Document Type: Chapter

References (20)

1. Aikio, M. (2001) Hyperspectral Prism-Grating-Prism Imaging Spectrograph, PhD thesis University of Oulu, Publ. 435, VTT Publications, Espoo.
2. Callet, P. (1998) Couleur-Lumière Couleur-Matière. Interaction Lumière-Matière et Synthèse d'Images, Diderot, Paris.
3. Esbensen, K. and Geladi, P. (1989) Strategy of multivariate image analysis (MIA), Chemometrics and Intelligent Laboratory Systems, 7, 67-86.
4. Gat, N. (2000) Imaging spectroscopy using tunable filters: a review, Proc. SPIE, 4056, 50-64.
5. Geladi, P. and Grahn, H. (1996) Multivariate Image Analysis, John Wiley & Sons, Ltd, Chichester.
6. Geladi, P. and Grahn, H. (2000) Multivariate image analysis, in R. Meyers, ed., Encyclopedia of Analytical Chemistry, John Wiley&Sons, Ltd, Chichester, pp. 13540-13562.
7. Geladi, P., Isaksson, H., Lindqvist, L., Wold, S. and Esbensen, K. (1989) Principal component analysis on multivariate images, Chemometrics and Intelligent Laboratory Systems, 5, 209-220.
8. Geladi, P., Grahn, H., Esbsensen, K. and Bengtsson, E. (1992) Image analysis in chemistry. Part 2: Multivariate image analysis, Trends in Analytical Chemistry, 11, 121-130.
9. Goetz, A. and Curtiss, B. (1996) Hyperspectral imaging of the earth: remote analytical chemistry in an uncontrolled environment, Field Analytical Chemistry and Technology, 1, 67-76.
10. Gonzalez, R. and Woods, R. (1992) Digital Image Processing, Addison-Wesley, Reading.
11. Johnson, G. and Fairchild, M. (2004) Visual psychophysics and color appearance, in Sharma G, ed., Digital Color Imaging Handbook, CRC Press, Boca Raton, FL, pp. 116-171.
12. Low, A. (1991) Introductory Computer Vision and Image Processing, McGraw-Hill, London.
13. Miseo, E. and Wright, N. (2003) Developing a chemical-imaging camera, The Industrial Physicst, 9, 29-32.
14. Pratt, W. (1978) Digital Image Processing, John Wiley & Sons, Ltd, New York.
15. Rosenfeld, A. and Kak, A. (1982) Digital Picture Processing, 2nd Edn, Academic Press, New York.
16. Sahlin, J. and Peppas, N. (1997) Near infrared FTIR imaging: a technique for enhancing spatial resolution in FTIR microscopy, Journal of Applied Polymer Science, 63, 103-110.
17. Schotton, D., ed. (1993) Electronic Light Microscopy. Techniques in Modern Biomedical Microscopy, John Wiley & Sons, Ltd, New York.
18. Siesler, H., Ozaki, Y., Kawata, S. and Heise, H., eds. (2002) Near-infrared Spectroscopy: Principles, Instruments, Applications, Wiley-VCH, Weinheim.
19. Vane, G., ed. (1988) Proceedings of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Evaluation Workshop, JPL 88-38, Jet Propulsion Laboratory, California Institute of Technology, Pasadena.
20. Wold, J.-P., Johanson, I.-R., Haugholt, K., Tschudi, J., Thielemann, J., Segtnan, V., Naruma, B. and Wold, E. (2006) Non-contact transflectance near infrared imaging for representative on-line sampling of dried salted coalfish (bacalao), Journal of Near Infrared Spectroscopy, 14, 59-66.