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A multiple endmember mixing model to handle spectral variability

Uezato, Tatsumi and Fauvel, Mathieu and Dobigeon, Nicolas A multiple endmember mixing model to handle spectral variability. (2018) In: 9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), 23 September 2018 - 25 September 2018 (Amsterdam, Netherlands).

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Official URL: https://doi.org/10.1109/WHISPERS.2018.8747110


This paper proposes a novel mixing model that incorporates spectral variability. The proposed approach relies on the following two ingredients: i) a mixed spectrum is modeled as a combination of a few endmember signatures which belong to some endmember bundles (referred to as classes), ii) sparsity is promoted for the selection of both endmember classes and endmember spectra within a given class. This leads to an adaptive and hierarchical description of the endmember spectra. A proximal alternating linearized minimization algorithm is derived to minimize the objective function associated with this model, providing estimates of the bundling coefficients and abundances. Results showed that the proposed method outperformed the existing methods in terms of promoting sparsity and selecting endmember classes within each pixel.

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 WHISPERS 2018. Electronic ISBN: 978-1-7281-1581-8 The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8747110 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-02290011
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Réseau ERANETMED pour la coopération euro-méditerranéenne - ANR : Agence nationale de la recherche : program ANR-15-IDEX-0002-02 (France) - Toulouse INP : Institut national polytechnique de Toulouse
Deposited On:09 Sep 2019 11:30

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