OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing

Wei, Qi and Godsill, Simon and Bioucas-Dias, José M. and Dobigeon, Nicolas and Tourneret, Jean-Yves High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing. (2016) In: 19th International Conference on Information Fusion (FUSION 2016), 5 July 2016 - 8 July 2016 (Heidelberg, Germany).

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB

Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7528090

Abstract

This paper presents a high-resolution hyperspectral image fusion algorithm based on spectral unmixing. The widely used linear observation model (with additive Gaussian noise) is combined with the linear spectral mixture model to form the data terms. The non-negativity and sum-to-one constraints, resulting from the intrinsic physical properties of the abundances (i.e., fractions of the materials contained in each pixel), are introduced to regularize the ill-posed image fusion problem. The joint fusion and unmixing problem is formulated as the minimization of a cost function with respect to the mixing matrix (which contains the spectral signatures of the pure material, referred to as endmembers), and the abundance maps, with non-negativity and sum-to-one constraints. This optimization problem is attacked with an alternating optimization strategy. The two resulting sub-problems are convex and are solved efficiently using the alternating direction method of multipliers. Simulation results, including comparisons with the state-of-the-art, document the effectiveness and competitiveness of the proposed unmixing based fusion algorithm.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of FUSION 2016. Electronic ISBN: 978-0-9964-5274-8 The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7528090/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01514617
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > University of Cambridge (UNITED KINGDOM)
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 > Instituto de Telecomunicações - IT (PORTUGAL)
Other partners > Universidade de Lisboa - ULisboa (PORTUGAL)
Laboratory name:
Statistics:download
Deposited By: IRIT IRIT
Deposited On:04 Apr 2017 07:42

Repository Staff Only: item control page