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Proceedings Paper

Joint sparse recovery in inverse scattering
Author(s): Okkyun Lee; Jong Chul Ye
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Paper Abstract

In this paper, we review joint sparse recovery based reconstruction approach for inverse scattering problems that can solve the nonlnear inverse scattering probleme without linearization or iterative Green's function update. The main idea is to exploit the common support conditions of anomalies during multiple illumination or current injections, after which unknown potential or field can be estimated using recursive integral equation relationship. Explicit derivation for electric impedance tomography and diffuse optical tomography are discussed.

Paper Details

Date Published: 21 September 2015
PDF: 8 pages
Proc. SPIE 9600, Image Reconstruction from Incomplete Data VIII, 96000C (21 September 2015); doi: 10.1117/12.2188764
Show Author Affiliations
Okkyun Lee, KAIST (Korea, Republic of)
Jong Chul Ye, KAIST (Korea, Republic of)

Published in SPIE Proceedings Vol. 9600:
Image Reconstruction from Incomplete Data VIII
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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