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Hyperspectral and multispectral image fusion based on a sparse representation

Wei, Qi and Bioucas-Dias, José M. and Dobigeon, Nicolas and Tourneret, Jean-Yves Hyperspectral and multispectral image fusion based on a sparse representation. (2015) IEEE Transactions on Geoscience and Remote Sensing, 53 (7). 3658-3668. ISSN 0196-2892

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Official URL: http://dx.doi.org/10.1109/TGRS.2014.2381272

Abstract

This paper presents a variational-based approach for fusing hyperspectral and multispectral images. The fusion problem is formulated as an inverse problem whose solution is the target image assumed to live in a lower dimensional subspace. A sparse regularization term is carefully designed, relying on a decomposition of the scene on a set of dictionaries. The dictionary atoms and the supports of the corresponding active coding coefficients are learned from the observed images. Then, conditionally on these dictionaries and supports, the fusion problem is solved via alternating optimization with respect to the target image (using the alternating direction method of multipliers) and the coding coefficients. Simulation results demonstrate the efficiency of the proposed algorithm when compared with state-of-the-art fusion methods.

Item Type:Article
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org/ The original PDF of the article can be found at Geoscience and Remote Sensing website : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7010915
HAL Id:hal-01168121
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 - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Universidade de Lisboa - ULisboa (PORTUGAL)
Laboratory name:
Funders:
The Portuguese Science and Technology Foundation - The China Scholarship Council
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Deposited By: Nicolas DOBIGEON
Deposited On:25 Jun 2015 10:03

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