Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging

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

  • Affiliations:
  • Dept. Lenguajes y Sistemas Informáticos, Jaume I University, Campus Riu Sec s/n 12071 Castellón, Spain;Dept. Lenguajes y Sistemas Informáticos, Jaume I University, Campus Riu Sec s/n 12071 Castellón, Spain;Dept. Lenguajes y Sistemas Informáticos, Jaume I University, Campus Riu Sec s/n 12071 Castellón, Spain;Dept. Lenguajes y Sistemas Informáticos, Jaume I University, Campus Riu Sec s/n 12071 Castellón, Spain

  • Venue:
  • IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
  • Year:
  • 2007

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Abstract

Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the methods proposed for band selection. A relevant and recent set of methods have been selected that cover the main tendencies in this field. Moreover, a variant of an existing method is also introduced in this work. The comparison criterion used is based on pixel classification tasks.