Multi-resolution subspace-based optimization method for solving three-dimensional inverse scattering problems

Xiuzhu Ye 1 Lorenzo Poli 2 Giacomo Oliveri 2 Yu Zhong 3 Agarwal Krishna 4 Andrea Massa 5, 6 Xudong Chen 7
1 Department of Electrical and Computer Engineering, Beihang University
2 ELEDIA - ELEDIA Research Center@DISI, University of Trento, via Sommarive 5, 38123 Trento, Italy
3 IHPC - Institution of High Performance Computing, A*STAR
4 SMART - Singapore-MIT Alliance for Research and Technology (SMART) Centre, CREATE Tower, Singapore 138602, Singapore
5 ELEDIA Research Group - Department of Information Engineering and Computer Science
6 L2S - Laboratoire des signaux et systèmes
7 NUS - National University of Singapore
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01224946
Contributor : Andrea Massa <>
Submitted on : Thursday, November 5, 2015 - 1:11:05 PM
Last modification on : Thursday, April 5, 2018 - 12:30:05 PM

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L2S | SUP_LSS | CENTRALESUPELEC | SUP_SIGNAUX | UNIV-PARIS-SACLAY

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Xiuzhu Ye, Lorenzo Poli, Giacomo Oliveri, Yu Zhong, Agarwal Krishna, et al.. Multi-resolution subspace-based optimization method for solving three-dimensional inverse scattering problems. Journal of the Optical Society of America. A, Optics and image science, Optical Society of America, 2015, 32 (11), pp.2218-2226. ⟨10.1364/JOSAA.32.002218⟩. ⟨hal-01224946⟩

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