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Quantitative microwave tomography from sparse measurements using a robust huber regularizer

Funing Bai UGent, Aleksandra Pizurica UGent, Sam Vanloocke UGent, Ann Franchois UGent, Daniël De Zutter UGent and Wilfried Philips UGent (2012) IEEE International Conference on Image Processing, Proceedings. p.2073-2076
abstract
In statistical theory, the Huber function yields robust estimations reducing the effect of outliers. In this paper, we employ the Huber function as regularization in a challenging inverse problem: quantitative microwave imaging. Quantitative microwave tomography aims at estimating the permittivity profile of a scattering object based on measured scattered fields, which is a nonlinear, ill-posed inverse problem. The results on 3D data sets are encouraging: the reconstruction error is reduced and the permittivity profile can be estimated from fewer measurements compared to state-of-the art inversion procedures.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
inverse problem, robust estimation, microwave imaging, regularization.
in
IEEE International Conference on Image Processing, Proceedings
pages
2073 - 2076
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
IEEE International Conference on Image Processing (ICIP - 2012)
conference location
Orlando, Florida, USA
conference start
2012-09-30
conference end
2012-10-03
Web of Science type
Proceedings Paper
Web of Science id
000319334902031
ISSN
1522-4880
ISBN
9781467325325
project
Fwo microwave tomography
language
English
UGent publication?
yes
classification
P1
copyright statement
I have retained and own the full copyright for this publication
id
2090282
handle
http://hdl.handle.net/1854/LU-2090282
date created
2012-04-18 13:14:26
date last changed
2013-10-22 11:03:44
@inproceedings{2090282,
  abstract     = {In statistical theory, the Huber function yields robust estimations reducing the effect of outliers. In this paper, we employ the Huber function as regularization in a challenging inverse problem: quantitative microwave imaging. Quantitative microwave tomography aims at estimating the permittivity profile of a scattering object based on measured scattered fields, which is a nonlinear, ill-posed inverse problem. The results on 3D data sets are encouraging: the reconstruction error is reduced and the permittivity profile can be estimated from fewer measurements compared to state-of-the art inversion procedures.},
  author       = {Bai, Funing and Pizurica, Aleksandra and Vanloocke, Sam and Franchois, Ann and De Zutter, Dani{\"e}l and Philips, Wilfried},
  booktitle    = {IEEE International Conference on Image Processing, Proceedings},
  isbn         = {9781467325325},
  issn         = {1522-4880},
  keyword      = {inverse problem,robust estimation,microwave imaging,regularization.},
  language     = {eng},
  location     = {Orlando, Florida, USA},
  pages        = {2073--2076},
  publisher    = {IEEE},
  title        = {Quantitative microwave tomography from sparse measurements using a robust huber regularizer},
  year         = {2012},
}

Chicago
Bai, Funing, Aleksandra Pizurica, Sam Vanloocke, Ann Franchois, Daniël De Zutter, and Wilfried Philips. 2012. “Quantitative Microwave Tomography from Sparse Measurements Using a Robust Huber Regularizer.” In IEEE International Conference on Image Processing, Proceedings, 2073–2076. Piscataway, NJ, USA: IEEE.
APA
Bai, F., Pizurica, A., Vanloocke, S., Franchois, A., De Zutter, D., & Philips, W. (2012). Quantitative microwave tomography from sparse measurements using a robust huber regularizer. IEEE International Conference on Image Processing, Proceedings (pp. 2073–2076). Presented at the IEEE International Conference on Image Processing (ICIP - 2012), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Bai F, Pizurica A, Vanloocke S, Franchois A, De Zutter D, Philips W. Quantitative microwave tomography from sparse measurements using a robust huber regularizer. IEEE International Conference on Image Processing, Proceedings. Piscataway, NJ, USA: IEEE; 2012. p. 2073–6.
MLA
Bai, Funing, Aleksandra Pizurica, Sam Vanloocke, et al. “Quantitative Microwave Tomography from Sparse Measurements Using a Robust Huber Regularizer.” IEEE International Conference on Image Processing, Proceedings. Piscataway, NJ, USA: IEEE, 2012. 2073–2076. Print.