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Conference Papers Year : 2015

Reconstruction of 3D Objects in Anisotropic Multi-layered Media by a Bayesian Compressive Sensing Solver

Abstract

This paper investigates an innovative imaging approach for reconstructing 3D objects in complex anisotropic multi-layered media. A fast algorithm applied for solving the electromagnetic scattering problems in the anisotropic multi-layered media is integrated with a Bayesian Compressive Sensing solver for the reconstruction of sparse scatterers. The validity of the novel imaging approach and its effectiveness and robustness are validated through numerical experiments.
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Dates and versions

hal-01250002 , version 1 (04-01-2016)

Identifiers

  • HAL Id : hal-01250002 , version 1

Cite

Ping-Ping Ding, Giacomo Oliveri, Lorenzo Poli, Andrea Massa. Reconstruction of 3D Objects in Anisotropic Multi-layered Media by a Bayesian Compressive Sensing Solver . The 17th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2015), Sep 2015, Awaji City - Hyogo, Japan. pp.2P1-C-4. ⟨hal-01250002⟩
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