Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models

Fauvel, Mathieu; Dechesne, Clément; Zullo, Anthony; Ferraty, Frédéric

doi:10.1109/jstars.2015.2441771

Public

Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • Jun 1, 2015

Authors:

Mathieu Fauvel

Clément Dechesne

Anthony Zullo

Abstract

A fast forward feature selection algorithm is presented in this paper. It is based on a Gaussian mixture model (GMM) classifier. GMM are used for classifying hyperspectral images. The algorithm selects iteratively spectral features that maximizes an estimation of the classification rate. The estimat...

Subject

Hyperspectral imaging

Mixture model

Pattern recognition (psychology)

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