Paper Title:
Band Selection Oriented to Easy-Confused Objects for Classification of Hyperspectral Imagery
  Abstract

As a dimensionality reduction technique, band selection is an importance pre-processing step for classifiers. In this paper, a band selection approach oriented to easy-confused objects for classification of hyper spectral imagery is presented. Firstly, an Objects Confusion Index (OCI) is established to ascertain the easy-confused objects. Then the two band selection schemes, that are two-class mode and multi-class mode, are designed by adopting Bhattacharyya distance as class reparability measure.

  Info
Periodical
Chapter
Chapter 2: Microwaves Optics and Image
Edited by
David Wang
Pages
355-361
DOI
10.4028/www.scientific.net/KEM.500.355
Citation
X. Zhao, X. Li, "Band Selection Oriented to Easy-Confused Objects for Classification of Hyperspectral Imagery", Key Engineering Materials, Vol. 500, pp. 355-361, 2012
Online since
January 2012
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Price
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