A Faster Way to Compute the Noise-Adjusted Principal Components Transform Matrix

IEEE Transactions on Geoscience and Remote Sensing

Volumn 32, Issue 6, 1994, Pages 1194-1196

  Roger, R E ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; MULTISPECTRAL SCANNERS;

NOISE ADJUSTED PRINCIPAL COMPONENTS TRANSFORM MATRIX;

REMOTE SENSING;

EID: 0028545567     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/36.338369     Document Type: Article

References (13)

1. J. A. Richards, Remote Sensing Digital Image Analysis—An Introduction, 2nd ed. Berlin, Germany: Springer-Verlag, 1993, ch. 6.
2. A. A. Green, M. Berman, P. Switzer, and M. D. 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.
3. 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.
4. K. Fukunaga and W. L. G. Koontz, “Application of the Karhunen-Loeve expansion to feature selection and ordering,” IEEE Trans. Comput., vol. 19, pp. 311–318, 1970.
5. K. Fukunaga, Introduction to Statistical Pattern Recognition. New York: Academic, 1972, pp. 33–36.
6. F. A. Graybill, Introduction to Matrices with Applications in Statistics. Belmont. CA: Wadsworth, 1969.
7. G. H. Golub and C. F. Van Loan, Matrix Computations. Baltimore, MD: The Johns Hopkins University Press, 1983.
8. H. R. Schwarz, H. Rutishauser, and E. Stiefel, Numerical Analysis of Symmetric Matrices, Englewood Cliffs, NJ: Prentice-Hall, 1973.
9. J. Stoer and R. Bulirsch, Introduction to Numerical Analysis, 2nd ed. New York: Springer-Verlag, 1993.
10. J. H. Wilkinson, The Algebraic Eigenvalue Problem. Oxford: Clarendon Press, 1965, pp. 337–340.
11. R. W. Newcomb, On the simultaneous diagonalization of two semidefinite definite matrices,” Quarterly of Appl. Math., vol. 19, pp. 144–146, 1961.
12. B. N. Parlett, The Symmetric Eigenvalue Problem. Englewood Cliffs, NJ: Prentice-Hall, 1980, sections 15.5, 15.6.
13. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes, The Art of Scientific Computing. New York: Cambridge University Press, 1986.