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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-02585-8_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02584-1
Online ISBN: 978-3-319-02585-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)