Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging

نویسندگان

  • Adolfo Martínez Usó
  • Filiberto Pla
  • José Martínez Sotoca
  • Pedro García-Sevilla
چکیده

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.

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تاریخ انتشار 2007