Remote Sensing Image Processing Using MCDF
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.
KeywordsOriginal Image Linear Feature Remote Sensing Image Linear Enhancement Balance Presentation
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- 1.Guo, W., Watson, A.: Modification of Conjugate Directional Filtering: from CDF to MCDF. In: Proceedings of IASTED Conference on Signal Processing, Pattern Recognition, and Applications, Crete, Greece, pp. 331–334 (2002)Google Scholar
- 2.Jahne, B.: Digital Image Processing: Concepts, Algorithms and Scientific Applications. Springer, Heidelberg (1997)Google Scholar
- 3.Proakis, J.G., Manolakis, D.G.: Digital Signal Processing: Principles, Algorithms and Applications. Prentice-Hall, Upper Saddle River (1996)Google Scholar
- 4.Richards, J.A.: Remote Sensing Digital Image Analysis. Springer, Heidelberg (1993)Google Scholar
- 5.Guo, W., Watson, A.: A neural system prototype for data processing using modified conjugate directional filtering (MCDF). In: Liu, J., Cheung, Y.-m., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690, pp. 1047–1051. Springer, Heidelberg (2003)Google Scholar