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Partially Asynchronous Distributed Unmixing of Hyperspectral Images

Thouvenin, Pierre-Antoine and Dobigeon, Nicolas and Tourneret, Jean-Yves Partially Asynchronous Distributed Unmixing of Hyperspectral Images. (2019) IEEE Transactions on Geoscience and Remote Sensing, 57 (4). 2009-2021. ISSN 0196-2892

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Official URL: https://doi.org/10.1109/TGRS.2018.2870486


So far, the problem of unmixing large or multitem- poral hyperspectral data sets has been specifically addressed in the remote sensing literature only by a few dedicated strategies. Among them, some attempts have been made within a distributed estimation framework, in particular, relying on the alternating direction method of multipliers. In this paper, we propose to study the interest of a partially asynchronous distributed unmixing procedure based on a recently proposed asynchronous algorithm. Under standard assumptions, the proposed algorithm inherits its convergence properties from recent contributions in nonconvex optimization, while allowing the problem of interest to be effi- ciently addressed. Comparisons with a distributed synchronous counterpart of the proposed unmixing procedure allow its interest to be assessed on synthetic and real data. Besides, thanks to its genericity and flexibility, the procedure investigated in this paper can be implemented to address various matrix factorization problems.

Item Type:Article
HAL Id:hal-02186067
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)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Agence Nationale de la Recherche- ANR - MapInvPlnt ERA-NET MED - CIMI Labex
Deposited On:17 Jul 2019 07:14

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