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Proceedings Paper

3D quantitative microwave imaging from sparsely measured data with Huber regularization
Author(s): Funing Bai; Aleksandra Pižurica
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Paper Abstract

Reconstructing complex permittivity profiles of dielectric objects from measurements of the microwave scattered field is a non-linear ill posed inverse problem. We analyze the performance of the Huber regularizer in the application, studying the influence of the parameters under different noise levels. Moreover, we evaluate the whole approach on real 3D electromagnetic measurements. Our focus is on reconstructions from relatively few measurements (sparse measurements) to speed up the reconstruction process.

Paper Details

Date Published: 7 March 2014
PDF: 8 pages
Proc. SPIE 9020, Computational Imaging XII, 90200E (7 March 2014); doi: 10.1117/12.2038500
Show Author Affiliations
Funing Bai, Univ. Gent (Belgium)
Aleksandra Pižurica, Univ. Gent (Belgium)


Published in SPIE Proceedings Vol. 9020:
Computational Imaging XII
Charles A. Bouman; Ken D. Sauer, Editor(s)

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