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Pré-Publication, Document De Travail Année : 2012

Target Identification Using Dictionary Matching of Generalized Polarization Tensors

Résumé

The aim of this paper is to provide a fast and efficient procedure for (real-time) target identification in imaging based on matching on a dictionary of precomputed generalized polarization tensors (GPTs). The approach is based on some important properties of the GPTs and new invariants. A new shape representation is given and numerically tested in the presence of measurement noise. The stability and resolution of the proposed identification algorithm is numerically quantified.

Dates et versions

hal-00688241 , version 1 (17-04-2012)

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Habib Ammari, Thomas Boulier, Josselin Garnier, Wenjia Jing, Hyœnbæ Kang, et al.. Target Identification Using Dictionary Matching of Generalized Polarization Tensors. 2012. ⟨hal-00688241⟩
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