Model-based co-clustering for hyperspectral images - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles Journal of Spectral Imaging Year : 2016

Model-based co-clustering for hyperspectral images

Abstract

A model-based co-clustering algorithm for hyperspectral images is presented. This algorithm, which relies on the probabilistic latent block model for continuous data, aims to cluster both the pixels and the spectral features of the images. This approach has been applied to a benchmark Raman imaging dataset and revealed relevant information for spatial-spectral exploratory investigation of the data.
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Dates and versions

hal-01367941 , version 1 (17-09-2016)

Identifiers

Cite

Julien Jacques, Cyril Ruckebusch. Model-based co-clustering for hyperspectral images. Journal of Spectral Imaging, 2016, 5, pp.a3-1 - a3-6. ⟨10.1255/jsi.2016.a3⟩. ⟨hal-01367941⟩
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