Color compressive sensing imaging of arbitrary-shaped scatterers

Abstract : The problem of imaging arbitrary-shaped targets is addressed through a methodological generalization of the compressive sensing (CS) paradigm. The Color CS (C-CS) methodology consists of a two-level hierarchical scheme where, at the first level and using a basis dictionary, several sparsity-regularized inversions are performed in parallel, while, at the second level, the retrieved expansion coefficients are compared to select the most reliable reconstruction according to a sparsity-rewarding criterion. Within the Born-approximated formulation of the microwave imaging problem, a Bayesian solver and a filtered ℓ0 -norm criterion are employed to implement the first and the second C-CS levels, respectively. Selected numerical results, representative of an extensive validation, are presented to illustrate the features, the advantages, and the limitations of C-CS also in comparison with some competitive state-of-the-art inversion techniques.
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Article dans une revue
IEEE Transactions on Microwave Theory and Techniques, Institute of Electrical and Electronics Engineers, 2017, IEEE Transactions on Microwave Theory and Techniques, 65 (6), pp.1986 - 1999. 〈http://ieeexplore.ieee.org/document/7829356/〉. 〈10.1109/TMTT.2016.2645570〉
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https://hal.archives-ouvertes.fr/hal-01578100
Contributeur : Andrea Massa <>
Soumis le : lundi 28 août 2017 - 16:25:18
Dernière modification le : jeudi 5 avril 2018 - 12:30:05

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Anselmi Nicola, Giacomo Oliveri, Abdul Mohammad Hannan, Marco Salucci, Andrea Massa. Color compressive sensing imaging of arbitrary-shaped scatterers. IEEE Transactions on Microwave Theory and Techniques, Institute of Electrical and Electronics Engineers, 2017, IEEE Transactions on Microwave Theory and Techniques, 65 (6), pp.1986 - 1999. 〈http://ieeexplore.ieee.org/document/7829356/〉. 〈10.1109/TMTT.2016.2645570〉. 〈hal-01578100〉

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