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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

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Abstract

Modified conjugate directional filtering (MCDF) is a new method proposed by Guo and Watson in 2002 for digital data and image processing. It provides ability in not only integrating directional-filtered results in conjugate directions into one image that shows the maximum linear features in these conjugate directions, but also further manipulating the outcomes using a number of predefined MCDF operations for different purposes. The use of MCDF(add1) to remote sensing image processing with 2D spectral analysis proves that the MCDF operation brings enhanced information integration operated in two different directions, which is the weaknesses of using the conventional methods in image processing. Its adaptive weighting system offers even more choices in combining selectively intensified results together to achieve a balanced presentation, which cannot be achieved using any traditional processing methods.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Ma, Z., Guo, W. (2004). Remote Sensing Image Processing Using MCDF. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_59

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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