An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection

The problem of extending the Jeffreys-Matusita distance to multiclass cases for feature-selection purposes is addressed and a solution equivalent to the Bhattacharyya bound is presented. This extension is compared with the widely used weighted average Jeffreys-Matusita distance both by examining the...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 1995-11, Vol.33 (6), p.1318-1321
Hauptverfasser:	Bruzzone, L., Roli, F., Serpico, S.B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomedical optical imaging Computational efficiency Computer aided software engineering Degradation Earth sciences Earth, ocean, space Exact sciences and technology General geology Image classification Multispectral imaging Optical sensors Pattern recognition Remote sensing Upper bound
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Zusammenfassung:	The problem of extending the Jeffreys-Matusita distance to multiclass cases for feature-selection purposes is addressed and a solution equivalent to the Bhattacharyya bound is presented. This extension is compared with the widely used weighted average Jeffreys-Matusita distance both by examining the respective formulae and by experimenting on an optical remote-sensing data set.
ISSN:	0196-2892 1558-0644
DOI:	10.1109/36.477187