Abstract
Our aim in this chapter is to reconstruct shape perturbations of an extended inclusion from MSR measurements. As for small volume inclusions, we present direct imaging algorithms and analyze their resolution and stability. Our algorithms are based on an asymptotic expansion for the perturbations in the data due to small shape perturbations. A concept equivalent to the polarization tensor for small volume targets is introduced.
Keywords
- Singular Vector
- Continuum Approximation
- Polarization Tensor
- Unit Tangential Vector
- Response Matrix
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2013 Springer International Publishing Switzerland
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Ammari, H. et al. (2013). Imaging Small Shape Deformations of an Extended Target from MSR Measurements. In: Mathematical and Statistical Methods for Multistatic Imaging. Lecture Notes in Mathematics, vol 2098. Springer, Cham. https://doi.org/10.1007/978-3-319-02585-8_13
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DOI: https://doi.org/10.1007/978-3-319-02585-8_13
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02584-1
Online ISBN: 978-3-319-02585-8
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