Automatic band selection in multispectral images using mutual information-based clustering

  • Authors:
  • Adolfo Martínez-Usó;Filiberto Pla;Pedro García-Sevilla;J. M. Sotoca

  • Affiliations:
  • LSI Department, Jaume I University, Castellón, Spain;LSI Department, Jaume I University, Castellón, Spain;LSI Department, Jaume I University, Castellón, Spain;LSI Department, Jaume I University, Castellón, Spain

  • Venue:
  • CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
  • Year:
  • 2006

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Abstract

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.