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arXiv · 1204.3035

Target Identification Using Dictionary Matching of Generalized Polarization Tensors

Habib Ammari·Thomas Boulier·Josselin Garnier·Wenjia Jing·Hyœnbæ Kang·Han Wang
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Abstract

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.

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BibTeXRIS

Habib Ammari, Thomas Boulier, Josselin Garnier, Wenjia Jing, Hyœnbæ Kang, Han Wang. 2012-04-13. Target Identification Using Dictionary Matching of Generalized Polarization Tensors. https://arxiv.org/abs/1204.3035

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