Please use this identifier to cite or link to this item: https://doi.org/10.1364/JOSAA.28.002057
Title: Multiresolution subspace-based optimization method for inverse scattering problems
Authors: Oliveri, G.
Zhong, Y. 
Chen, X. 
Massa, A.
Issue Date: Oct-2011
Citation: Oliveri, G., Zhong, Y., Chen, X., Massa, A. (2011-10). Multiresolution subspace-based optimization method for inverse scattering problems. Journal of the Optical Society of America A: Optics and Image Science, and Vision 28 (10) : 2057-2069. ScholarBank@NUS Repository. https://doi.org/10.1364/JOSAA.28.002057
Abstract: This paper investigates an approach to inverse scattering problems based on the integration of the subspace-based optimization method (SOM) within a multifocusing scheme in the framework of the contrast source formulation. The scattering equations are solved by a nested three-step procedure composed of (a) an outer multiresolution loop dealing with the identification of the regions of interest within the investigation domain through an iterative information-acquisition process, (b) a spectrum analysis step devoted to the reconstruction of the deterministic components of the contrast sources, and (c) an inner optimization loop aimed at retrieving the ambiguous components of the contrast sources through a conjugate gradient minimization of a suitable objective function. A set of representative reconstruction results is discussed to provide numerical evidence of the effectiveness of the proposed algorithmic approach as well as to assess the features and potentialities of the multifocusing integration in comparison with the state-of-the-art SOM implementation. © 2011 Optical Society of America.
Source Title: Journal of the Optical Society of America A: Optics and Image Science, and Vision
URI: http://scholarbank.nus.edu.sg/handle/10635/56732
ISSN: 10847529
DOI: 10.1364/JOSAA.28.002057
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

45
checked on Nov 13, 2018

WEB OF SCIENCETM
Citations

38
checked on Nov 13, 2018

Page view(s)

46
checked on Nov 10, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.