Hyperspectral Image Classification and Dimensionality Reduction: An Orthogonal Subspace Projection Approach

IEEE Transactions on Geoscience and Remote Sensing

Volumn 32, Issue 4, 1994, Pages 779-785

  Harsanyi, Joseph C ^a   Chang, Chein I ^b  

^a Applied Signal and Image Technology   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; IMAGE ANALYSIS; IMAGE QUALITY; INTERFERENCE SUPPRESSION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL OPERATORS; SIGNAL TO NOISE RATIO;

DIMENSIONALITY REDUCTION; HYPERSPECTRAL IMAGE CLASSIFICATION; ORTHOGONAL SUBSPACE PROJECTION (OSP);

REMOTE SENSING;

EID: 0028467206     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/36.298007     Document Type: Article

References (23)

1. P. Swain and S. Davis, Ed., Remote Sensing: The Quantitative Approach. New York: McGraw-Hill, 1983.
2. A. S. Mazer, M. Martin et al., “Image processing software for imaging spectrometry data analysis,” Remote Sensing Environ., vol. 24, no. 1, pp. 201–210, 1988.
3. R. H. Yuhas, A. F. H. Goetz, and J. W. Boardman, “Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm,” Summaries 3rd Annu. JPL Airborne Geosci. Workshop, June 1992, R. O. Green, Ed., Publ. 92–14, vol. 1, Jet Propulsion Laboratory, Pasadena, CA, 1992, pp. 147–149.
4. M. O. Smith, P. E. Johnson, and J. B. Adams, “Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis,” in Proc. 15th Lunar and Planetary Sci. Conf., Part 2, Geophys. Res., vol. 90, suppl., pp. C797-C804, Feb. 15, 1985.
5. A. R. Gillespie, M. O. Smith, J. B. Adams, S. C. Willis, A. F. Fischer, III, and D. E. Sabol, “Interpretation of residual images: Spectral mixture analysis of AVIRIS images, Owens Valley, California,” in Proc. 2nd AVIRIS Workshop, R. O. Green, Ed., JPL Publ. 90–54, 243–270.
6. J. B. Lee, A. S. Woodyatt, and M. Berman, “Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform,” IEEE Trans. Geosci. Remote Sensing, vol. 28, pp. 295–304, May 1990.
7. A. A. Green, M. Berman, P. Switzer, and M. Craig, “A transformation for ordering multispectral data in terms of image quality with implications for noise removal,” IEEE Trans. Geosci. Remote Sensing, vol. 26, pp. 65–74, Jan. 1988.
8. S. Haykin, Ed., Advances in Spectrum Analysis and Array Processing, Volume II. Englewood Cliffs, NJ: Prentice-Hall, 1991.
9. Adaptive Filter Theory, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1991.
10. J. W. V. Miller, J. B. Farison, and Y. Shin, “Spatially invariant image sequences,” IEEE Trans. Image Processing, vol. 1, pp. 148–161, Apr. 1992.
11. G. Vane and A. F. H. Goetz, “Terrestrial imaging spectroscopy,” Remote Sensing Environ., vol. 24, no. 1, pp. 1–29, 1988.
12. J. C. Harsanyi, “Detection and classification of subpixel spectral signatures in hyperspectral ima g e sequences,” Ph.D. dissertation, Univ. Maryland, Baltimore County, 116 pp., 1993.
13. G. H. Golub and C. F. Van Loan, Matrix Computations. Baltimore: Johns Hopkins Univ. Press, 1983.
14. J. B. Adams and M. O. Smith, “Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site,” J. Geo-phys. Res., vol. 91, pp. 8098–8112, July 1986.
15. Y. E. Shimabukuro and J. A. Smith, “Least squares mixing models to generate fraction images derived from remote sensing multispectral data,” IEEE Trans. Geosci. Remote Sensing, vol. 29, pp. 16–20, Jan. 1991.
16. B. N. Holben and Y. E. Shimabukuro, “Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensors,” Int. J. Remote Sensing, vol. 14, no. 11, pp. 2231–2240, 1993.
17. D. E. Sabol, J. B. Adams, and M. O. Smith, “Quantitative subpixel spectral detection of targets in multispectral images,” J. Geophys. Res., vol. 97, pp. 2659–2672, Feb. 25, 1992.
18. A. R. Huete, “Separation of soil-plant spectral mixtures by factor analysis,” Remote Sensing Environ., vol. 19, no. 1, pp. 237–251, 1986.
19. H. V. Poor, An Introduction to Signal Detection and Estimation, New York: Springer-Verlag, 1988.
20. W. H. Farrand, “Visible and near infrared reflectance of tuff rings and tuff cones,” Ph.D. dissertation, Univ. Arizona, Tucson, 1991.
21. W. H. Farrand and R. B. Singer, “Analysis of altered volcanic pyroclasts using AVIRIS data,” in Proc. 3rd Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, JPL Publ. 91–28, Jet Propulsion Lab., Pasadena, CA, 1991.
22. D. H. Scott and N. J. Trask, “Geology of the Lunar Crater Volcanic Field, Nye County, Nevada,” USGS Prof. Paper 599-1, 1971.
23. R. P. Snyder, E. B. Ekren, and G. L. Dixon, “Geologic map of the Lunar Crater Quadrangle, Nye County, Nevada,” USGS Misc. Geol. Inv. Map I–700, scale 1 :48000, 1972.