Abstract
In this chapter we apply the accurate asymptotic formulas derived in Chap. 3 for the purpose of identifying the location and certain properties of the inclusions. We single out simple fundamental localization algorithms.
Keywords
- Measurement Noise
- Helmholtz Equation
- Location Search Algorithm
- Search Point
- Background Solution
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). Direct Imaging Functionals for Inclusions in the Continuum Approximation. 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_8
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DOI: https://doi.org/10.1007/978-3-319-02585-8_8
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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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