Automatic Band Selection in Multispectral Images Using Mutual Information-Based Clustering

  • Adolfo Martínez-Usó
  • Filiberto Pla
  • Pedro García-Sevilla
  • J. M. Sotoca
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)


Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct a hierarchical clustering structure with the multispectral bands. Moreover, a criterion function is used to choose automatically the number of final clusters. Experimental results show that the method provides a very suitable subset of multispectral bands for pixel classification purposes.


Feature Selection Mutual Information Feature Subset Near Neighbour Multispectral Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Adolfo Martínez-Usó
    • 1
  • Filiberto Pla
    • 1
  • Pedro García-Sevilla
    • 1
  • J. M. Sotoca
    • 1
  1. 1.LSI DepartmentJaume I UniversityCastellónSpain

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