7 March 2014 3D quantitative microwave imaging from sparsely measured data with Huber regularization
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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.
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Funing Bai, Aleksandra Pižurica, "3D quantitative microwave imaging from sparsely measured data with Huber regularization", Proc. SPIE 9020, Computational Imaging XII, 90200E (7 March 2014); doi: 10.1117/12.2038500; https://doi.org/10.1117/12.2038500
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