Band Selection Oriented to Easy-Confused Objects for Classification of Hyperspectral Imagery
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.
X. Zhao and X. Li, "Band Selection Oriented to Easy-Confused Objects for Classification of Hyperspectral Imagery", Key Engineering Materials, Vol. 500, pp. 355-361, 2012