Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Institut Fresnel

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2021Complex-structured 3D-printed wireframes as asteroid analogues for tomographic microwave radar measurements4citations
  • 2021Analysis of full microwave propagation and backpropagation for a complex asteroid analogue via single-point quasi-monostatic data5citations
  • 2020Complex-structured 3D-printed wireframes as asteroid analogues for tomographic microwave radar measurements4citations
  • 2019Influence of the description of the scattering matrix on permittivity reconstruction with a quantitative imaging procedure: polarization effects6citations
  • 2015Properties of the 67P/Churyumov-Gerasimenko interior revealed by CONSERT radar210citations
  • 2012A large 3D target with small inner details : A difficult cocktail for imaging purposes without a-priori knowledge on the scatterers geometry,citations
  • 2007Full-Wave Three-Dimensional Microwave Imaging With a Regularized Gauss-Newton Method-- Theory and Experimentcitations

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Hérique, Alain
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Sorsa, Liisa-Ida
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Takala, Mika
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Geffrin, Jean-Michel
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Pursiainen, Sampsa
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Saleh, Hassan
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Spinelli, Jean Pierre
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Litman, Amelie
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Franchois, Ann
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Zaeytijd, Jürgen De
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Co-Authors (by relevance)

  • Hérique, Alain
  • Sorsa, Liisa-Ida
  • Takala, Mika
  • Geffrin, Jean-Michel
  • Pursiainen, Sampsa
  • Saleh, Hassan
  • Spinelli, Jean Pierre
  • Litman, Amelie
  • Franchois, Ann
  • Zaeytijd, Jürgen De
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article

A large 3D target with small inner details : A difficult cocktail for imaging purposes without a-priori knowledge on the scatterers geometry,

  • Spinelli, Jean Pierre
  • Eyraud, Christelle
  • Geffrin, Jean-Michel
  • Litman, Amelie
Abstract

To accurately image a complex shape but large 3D target whose scattered field has been measured in an anechoic environment at high frequencies (18 and 20 GHz), we have developed a complete imaging process, combining experimental and numerical works. The adopted strategy exploits the maximum of available information related to the measurements, both in terms of quantity and accuracy without any a priori knowledge on the scatterer geometry. We first determine the position and then the dimension of the spatial domain which contains the target. This localization is realized directly from the analysis of the spectrum of the measured fields taking into account the random noise disturbing the measurement points. Then, we construct a quantitative permittivity map of this investigation domain thanks to an iterative inversion procedure based on a Bayesian formulation where the spatial diversity of the real random noise is adequately exploited. By following this strategy, we have been able to quantitatively retrieve the target both in terms of dimension, shape and electromagnetic properties, even with a very limited number of measurement points and for a single polarization case. With such a process, even spheres with a diameter equal to l/3 are correctly reconstructed at 20 GHz.

Topics
  • impedance spectroscopy
  • random