Joint Sparse Recovery in Inverse Scattering

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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.
Publisher
SPIE
Issue Date
2015-08-10
Language
English
Citation

Conference on Image Reconstruction from Incomplete Data VIII

ISSN
0277-786X
DOI
10.1117/12.2188764
URI
http://hdl.handle.net/10203/214367
Appears in Collection
AI-Conference Papers(학술대회논문)
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