Linear models for spectral reflectance functions over the mid-wave and long-wave infrared

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 15, Issue 8, 1998, Pages 2216-2227

  Healey, Glenn ^a   Benites, Luis ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COLOR IMAGE PROCESSING; ELECTRON ENERGY LEVELS; LIGHT ABSORPTION; LIGHTING; MATHEMATICAL MODELS; PHOTONS; REMOTE SENSING;

AIRBORNE VISIBLE INFRARED IMAGING SPECTROMETER; INFRARED SENSORS; SPATIALLY ENHANCED BROADBAND ARRAY SPECTROGRAPH SYSTEM;

OPTICAL SENSORS;

EID: 0032134620     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.15.002216     Document Type: Article

References (33)

1. G. Vane, R. Green, T. Chrien, H. Enmark, E. Hansen, and W. Porter, “The airborne visible infrared imaging spectrometer, ” Remote Sensing Environ. 44, 127–143 (1993).
2. R. W. Basedow, D. C. Armer, and M. E. Anderson, “HYDICE system: implementation and performance, ” in Imaging Spectrometry, M. R. Descour, J. M. Mooney, D. L. Perry, and L. R. Illing, eds., Proc. SPIE 2480, 258–267 (1995).
3. J. Cohen, “Dependency of the spectral reflectance curves of the Munsell color chips, ” Psychon. Sci. 1, 369 (1964).
4. L. Maloney, “Evaluation of linear models of surface spectral reflectance with small numbers of parameters, ” J. Opt. Soc. Am. A 3, 1673–1683 (1986).
5. J. P. S. Parkkinen, J. Hallikainen, and T. Jaaskelainen, “Characteristic spectra of Munsell colors, ” J. Opt. Soc. Am. A 6, 318–322 (1989).
6. E. L. Krinov, “Spectral reflectance properties of natural formations, ” Technical translation TT-439, Tech. Rep. (National Research Council of Canada, Ottawa, 1947).
7. D. Nickerson, “Spectrophotometric data for a collection of Munsell samples, ” Tech. Rep. (U.S. Department of Agriculture, Washington, D.C., 1957).
8. B. Wandell, “The synthesis and analysis of color images, ” IEEE Trans. Pattern. Anal. Mach. Intell. PAMI-9, 2–13 (1987).
9. D. Marimont and B. Wandell, “Linear models of surface and illuminant spectra, ” J. Opt. Soc. Am. A 9, 1905–1913 (1992).
10. G. Healey, S. Shafer, and L. Wolff, eds., Physics-Based Vi sion: Principles and Practice, COLOR (Jones and Bartlett, Boston, 1992).
11. G. Healey and Q.-T. Luong, “Color in computer vision: re cent progress, ” in Handbook of Pattern Recognition and Computer Vision, CH.Chen, L. F. Pau, and P. S. P. Wang, eds. (World Scientific, River Edge, N.J., 1997).
12. L. Maloney and B. Wandell, “Color constancy: a method for recovering surface spectral reflectance, ” J. Opt. Soc. Am. A 3, 1673–1683 (1986).
13. M. D’Zmura and G. Iverson, “Color constancy. I. Basic theory of two-stage linear recovery of spectral descriptions for lights and surfaces, ” J. Opt. Soc. Am. A 10, 2148–2165 (1993).
14. M. D’Zmura and G. Iverson, “Color constancy. II. Results for two-stage linear recovery of spectral descriptions for lights and surfaces, ” J. Opt. Soc. Am. A 10, 2166–2180.
15. G. Healey and D. Slater, “Global color constancy: recognition of objects by use of illumination-invariant properties of color distributions, ” J. Opt. Soc. Am. A 11, 3003–3010.
16. G. Healey and L. Wang, “Illumination-invariant recognition of texture in color images, ” J. Opt. Soc. Am. A 12, 1877–1883 (1995).
17. D. Slater and G. Healey, “The illumination-invariant recognition of 3D objects using local color invariants, ” IEEE Trans. Pattern. Anal. Mach. Intell. 18, 206–210 (1996).
18. G. Healey and A. Jain, “Retrieving multispectral satellite images using physics-based invariant representations, ” IEEE Trans. Pattern. Anal. Mach. Intell. 18, 842–848 (1996).
19. S. L. Valley, ed., Handbook of Geophysics and Space Environments, (U.S. Air Force Cambridge Research Lab, Bedford, Mass., 1965).
20. K. Nassau, The Physics and Chemistry of Color: the Fifteen Causes of Color (Wiley, New York, 1983).
21. P. Slater, Remote Sensing, Optics and Optical Systems (Addison-Wesley, Reading, Mass., 1980).
22. R. Siegel and J. Howell, Thermal Radiation Heat Transfer (McGraw-Hill, New York, 1981).
23. G. R. Hunt and R. L. Vincent, “The behavior of spectral features in the infrared emission from particulate surfaces of various grain sizes, ” J. Geophys. Res. 73, 6039–6046 (1968).
24. M. J. Bartholomew, A. B. Kahle, and G. Hoover, “Infrared spectroscopy (2.3-20 pm) for the geological interpretation of remotely-sensed multispectral thermal infrared data, ” Int. J. Remote Sens. 10, 529–544 (1989).
25. G. H. Golub and C. F. van Loan, Matrix Computations, (Johns Hopkins U. Press, Baltimore, Md., 1983).
26. J. Salisbury, L. Walter, N. Vergo, and D. D’Aria. Infrared (2.1-25 pan) Spectra of Minerals, (Johns Hopkins U. Press, Baltimore, Md., 1991).
27. J. Salisbury, B. Hapke, and J. Eastes, “Usefulness of weak bands in mid-infrared remote sensing of particulate planetary surfaces, ” J. Geophys. Res. 92, 702–710 (1987).
28. R. Aines and G. Rossman, “Water in minerals? A peak in the infrared, ” J. Geophys. Res. 89, 4059–4071 (1984).
29. M. Hass and G. Sutherland, “The infra-red spectrum and crystal structure of gypsum, ” Proc. R. Soc. London 236, 427–445 (1956).
30. V. C. Farmer, ed., The Infrared Spectra of Minerals, Monograph 4 (Mineralogical Society, London, 1974).
31. L. Walter and J. Salisbury, “Spectral characterization of igneous rocks in the 8 to 12 pm region, ” J. Geophys. Res. 94, 9203–9213 (1989).
32. P. A. Estep-Barnes, “Infrared spectroscopy, ” in Physical Methods in Determinative Mineralogy, 2nd ed., J. Zussman, ed. (Academic, New York, 1977), pp. 529–603.
33. J. Thompson and J. Salisbury, “The mid-infrared reflectance of mineral mixtures (7-14 pm), ” Remote Sensing Environ. 45, 1–13 (1993).