Altmann, Yoann and Halimi, Abderrahim
and Dobigeon, Nicolas
and Tourneret, Jean-Yves
Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery.
(2012)
IEEE Transactions on Image Processing, 21 (6). 3017-3025. ISSN 1057-7149
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 1MB |
Official URL: http://dx.doi.org/10.1109/TIP.2012.2187668
Abstract
This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian noise. These nonlinear functions are approximated using polynomial functions leading to a polynomial postnonlinear mixing model. A Bayesian algorithm and optimization methods are proposed to estimate the parameters involved in the model. The performance of the unmixing strategies is evaluated by simulations conducted on synthetic and real data.
Item Type: | Article |
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Additional Information: | Thanks to IEEE. The original publication is available at http://ieeexplore.ieee.org/Xplore/home.jsp |
HAL Id: | hal-03534056 |
Audience (journal): | International peer-reviewed journal |
Uncontrolled Keywords: | |
Institution: | French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) |
Laboratory name: | Institut de Recherche en Informatique de Toulouse - IRIT (Toulouse, France) - Signal et Communication - SC |
Statistics: | download |
Deposited On: | 14 May 2012 13:11 |
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