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2.5D quantitative millimeter wave imaging of a hidden object on a simplified human body model using value picking regularization

Sara Van den Bulcke UGent, Ann Franchois UGent and Daniël De Zutter UGent (2010) JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES. 31(12). p.1478-1490
abstract
In this contribution, the authors provide a proof of principle for quantitative imaging of concealed objects on the human body using millimeter waves. A two-and-a-half-dimensional (2.5D) quantitative millimeter wave imaging algorithm is applied to reconstruct a hidden dielectric object on a clothed simplified human body model. At millimeter wave frequencies, the incident field is typically a fully three-dimensional (3D) Gaussian beam, illuminating only a limited spot on the body. Due to the large dimensions of the human body in terms of wavelengths, a 3D discretization is hardly feasible. Therefore, it is assumed that the electromagnetic properties of the body do not significantly change within the illuminated spot, along the longitudinal direction of a person. Hence, only the cross-section of a human body model is discretized. This 2.5D assumption however is still not sufficient to reduce the forward problem to a feasible size. Therefore, a priori knowledge on the illumination and on the scattering properties of the clothed human body is used to deduce a simplified model to describe the cross-section of the clothed human abdomen. The complex permittivity profile of a small dielectric object, hidden underneath clothing and representing some type of explosive, is reconstructed. The complex permittivity profiles of all other scatterers are assumed to be known. The presented quantitative inverse scattering algorithm is based on a Newton-type optimization, combined with an approximate line search and regularized by applying Stepwise Relaxed Value Picking regularization. The input data of the quantitative inverse scattering problem are synthetic scattering data since the authors are not aware of any amplitude and phase measurement data for concealed weapon detection yet made available to the inversion community at these high frequencies.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Millimeter waves, Inverse scattering, Human body model, 2.5D, TESTING INVERSION ALGORITHMS, VOLUME INTEGRAL-EQUATION, SCATTERING, SOLVER
journal title
JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES
J. Infrared Millim. Terahertz Waves
volume
31
issue
12
pages
1478 - 1490
Web of Science type
Article
Web of Science id
000284431300009
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
0.824 (2010)
JCR rank
144/247 (2010)
JCR quartile
3 (2010)
ISSN
1866-6892
DOI
10.1007/s10762-010-9724-y
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1163370
handle
http://hdl.handle.net/1854/LU-1163370
date created
2011-02-22 09:45:19
date last changed
2016-12-19 15:46:36
@article{1163370,
  abstract     = {In this contribution, the authors provide a proof of principle for quantitative imaging of concealed objects on the human body using millimeter waves. A two-and-a-half-dimensional (2.5D) quantitative millimeter wave imaging algorithm is applied to reconstruct a hidden dielectric object on a clothed simplified human body model. At millimeter wave frequencies, the incident field is typically a fully three-dimensional (3D) Gaussian beam, illuminating only a limited spot on the body. Due to the large dimensions of the human body in terms of wavelengths, a 3D discretization is hardly feasible. Therefore, it is assumed that the electromagnetic properties of the body do not significantly change within the illuminated spot, along the longitudinal direction of a person. Hence, only the cross-section of a human body model is discretized. This 2.5D assumption however is still not sufficient to reduce the forward problem to a feasible size. Therefore, a priori knowledge on the illumination and on the scattering properties of the clothed human body is used to deduce a simplified model to describe the cross-section of the clothed human abdomen. The complex permittivity profile of a small dielectric object, hidden underneath clothing and representing some type of explosive, is reconstructed. The complex permittivity profiles of all other scatterers are assumed to be known. The presented quantitative inverse scattering algorithm is based on a Newton-type optimization, combined with an approximate line search and regularized by applying Stepwise Relaxed Value Picking regularization. The input data of the quantitative inverse scattering problem are synthetic scattering data since the authors are not aware of any amplitude and phase measurement data for concealed weapon detection yet made available to the inversion community at these high frequencies.},
  author       = {Van den Bulcke, Sara and Franchois, Ann and De Zutter, Dani{\"e}l},
  issn         = {1866-6892},
  journal      = {JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES},
  keyword      = {Millimeter waves,Inverse scattering,Human body model,2.5D,TESTING INVERSION ALGORITHMS,VOLUME INTEGRAL-EQUATION,SCATTERING,SOLVER},
  language     = {eng},
  number       = {12},
  pages        = {1478--1490},
  title        = {2.5D quantitative millimeter wave imaging of a hidden object on a simplified human body model using value picking regularization},
  url          = {http://dx.doi.org/10.1007/s10762-010-9724-y},
  volume       = {31},
  year         = {2010},
}

Chicago
Van den Bulcke, Sara, Ann Franchois, and Daniël De Zutter. 2010. “2.5D Quantitative Millimeter Wave Imaging of a Hidden Object on a Simplified Human Body Model Using Value Picking Regularization.” Journal of Infrared Millimeter and Terahertz Waves 31 (12): 1478–1490.
APA
Van den Bulcke, S., Franchois, A., & De Zutter, D. (2010). 2.5D quantitative millimeter wave imaging of a hidden object on a simplified human body model using value picking regularization. JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 31(12), 1478–1490.
Vancouver
1.
Van den Bulcke S, Franchois A, De Zutter D. 2.5D quantitative millimeter wave imaging of a hidden object on a simplified human body model using value picking regularization. JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES. 2010;31(12):1478–90.
MLA
Van den Bulcke, Sara, Ann Franchois, and Daniël De Zutter. “2.5D Quantitative Millimeter Wave Imaging of a Hidden Object on a Simplified Human Body Model Using Value Picking Regularization.” JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES 31.12 (2010): 1478–1490. Print.