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By John G. Webster (Editor)

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The weights on the inputs x are the eigenvectors, and the variances of the output axes y are the eigenvalues. Because the eigenvalues are ordered in decreasing order, 88 INFORMATION PROCESSING FOR REMOTE SENSING the PCT achieves a compression of data variation into fewer dimensions when a subset of PCT components corresponding to the larger eigenvalues is selected. A disadvantage of the PCT is that it is a global, data-dependent transform and must be recalculated for each image. The greatest computation burden is usually the covariance matrix for the input features.

O. Yilmaz Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data, Investigations in Geophysics, No. 10, Tulsa: SEG Press, 2001. 9. L. R. T. Newrick Fundamentals of Geophysical interpretation, Tulsa: SEG Press, 2004. 10. L. T. Ikelle L. Amundsen Introduction to Petroleum Seismology, Investigations in Geophysics, No. 12, Tulsa: SEG Press, 2005. 11. D. K. Butler Near Surface GeophysicsInvestigations in Geophysics, No. 13, Tulsa: SEG Press, 2005. 12. B. L. Biondi, 3D Seismic Imaging, Investigations in Geophysics, No.

T. Ulrych Application of homomorphic deconvolution to seismology, Geophysics, 36 (4): 650–660, 1971. 20. J. M. Tribolet Seismic Applications of Homomorphic Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1979. MARWAN A. S%20ENGINEERING/25. htm }{{}} ● HOME ● ABOUT US ● CONTACT US ● HELP Home / Engineering / Electrical and Electronics Engineering Wiley Encyclopedia of Electrical and Electronics Engineering Information Processing for Remote Sensing Standard Article James C. Tilton1, David Landgrebe2, Robert A.

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