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Electronic hardware implementation of the principal components transformation for multichannel image data

Electronic hardware implementation of the principal components transformation for multichannel image data

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An implementation of the principal components transformation is presented which makes use of analogue and digital electronic hardware under the control of a microprocessor. The hardware is used to collect covariance statistics from a multichannel set of digital video images and to perform the actual transformation on real-time analogue video signals derived from the stored data. This approach offers considerable advantages over a completely software based system in terms of speed and cost. An example of the use of the system for the analysis of Landsat multispectral data is presented.

References

    1. 1)
      • P.J. Ready , P.A. Wintz . Information extraction, SNR improvement and data compression in multispectral imagery. IEEE Trans. , 1123 - 1131
    2. 2)
      • N.J. Mulder , S.A. Hempenius . Data compression and data reduction techniques for the visual interpretation of multispectral images. J. Int. Inst. Aerial Survey & Earth Sci.(ITC)
    3. 3)
      • K.E. Atkinson . (1978) , An introduction to numerical analysis.
    4. 4)
      • W.K. Pratt . (1978) , Digital image processing.
    5. 5)
      • Bird, A.C.: `The electronic image classifier and its application to multispectral analysis', 1982, Ph.D.thesis, Imperial College, Optics section.
    6. 6)
      • A. Santisteban , L. Munoz . Principal components of a multispectral image:application to a geological problem. IBM J. Res.& Dev. , 444 - 454
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