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Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm

Eches, Olivier and Dobigeon, Nicolas and Tourneret, Jean-Yves Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm. (2010) IEEE Journal on Selected Topics in Signal Processing, vol. 4 (n° 3). pp. 582-591. ISSN 1932-4553

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Official URL: http://dx.doi.org/10.1109/JSTSP.2009.2038212

Abstract

This paper studies a semi-supervised Bayesian unmixing algorithm for hyperspectral images. This algorithm is based on the normal compositional model recently introduced by Eismann and Stein. The normal compositional model assumes that each pixel of the image is modeled as a linear combination of an unknown number of pure materials, called endmembers. However, contrary to the classical linear mixing model, these endmembers are supposed to be random in order to model uncertainties regarding their knowledge. This paper proposes to estimate the mixture coefficients of the Normal Compositional Model (referred to as abundances) as well as their number using a reversible jump Bayesian algorithm. The performance of the proposed methodology is evaluated thanks to simulations conducted on synthetic and real AVIRIS images.

Item Type:Article
Additional Information:Thanks to IEEE editor. The definitive version is available at http://www.ieee.org/index.html The original PDF of the article can be found at IEEE Journal on Selected Topics in Signal Processing website : http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4200690
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution: Université de Toulouse > Université de Toulouse I-Sciences Sociales - UT1
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
French research institutions > Centre National de la Recherche Scientifique - CNRS
Université de Toulouse > Université de Toulouse II-Le Mirail - UTM
Laboratory name:
Statistics:download
Deposited By: Nicolas DOBIGEON

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