Abstract
We propose a technique to reconstruct the geometry of inclusions and their material parameters in thermal scattering near surfaces. The imaging problem is reformulated as a constrained optimization problem with a finite number of stationary constraints. The unknown domains and their parameters are the design variables. A descent method combining topological derivative analysis to find improved guesses of the objects and gradient iterations to correct their material parameters provides reasonable reconstructions.
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The authors are partially supported by the Spanish Government research project TRA2010–18054 and the Spanish Ministerio de Economia y Competitividad Grants No. FIS2011-28838-C02-02, and No. FIS2010-22438-E.
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Carpio, A., Rapún, ML. Parameter Identification in Photothermal Imaging. J Math Imaging Vis 49, 273–288 (2014). https://doi.org/10.1007/s10851-013-0459-y
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DOI: https://doi.org/10.1007/s10851-013-0459-y