An Investigation of Spectral Metrics in Hyperspectral Image Preprocessing for Classification

Abstract

The paper investigates the efficiency of spectral metrics when used in spectral screening of hyperspectral imagery. Spectral screening is the technique of selecting from the data a subset of representative spectra that can be used in further processing. The subset is formed such that any two spectra in it are dissimilar and, for any spectrum in the original… (More)

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Cite this paper

@inproceedings{Robila2005AnIO, title={An Investigation of Spectral Metrics in Hyperspectral Image Preprocessing for Classification}, author={Stefan A. Robila}, year={2005} }