论文信息 - Band Selection Oriented to Easy-Confused Objects for Classification of Hyperspectral Imagery

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.

Xing Li | Xin Zhao

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