Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)

The Weighting Algorithms for the Landweber Method in Electromagnetic Tomography

Authors
Guanghui Han, Gangrong Qu, Ze Liu, Pengfei Zhao
Corresponding Author
Guanghui Han
Available Online September 2018.
DOI
10.2991/hssmee-18.2018.49How to use a DOI?
Keywords
Electromagnetic tomography, Image reconstruction, Sensitivity matrix, Landweber iteration, Gain factor.
Abstract

Due to ill-posed of the image reconstruction in Electromagnetic tomography (EMT), the condition number of the sensitivity matrix is high and the reconstructed results are sensitive to the measurement errors. In this paper, two weighting matrices are proposed to improve the condition number and two modified Landweber methods are derived. Numerical simulations demonstrate the feasibility of the modified methods.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2018
ISBN
10.2991/hssmee-18.2018.49
ISSN
2352-5398
DOI
10.2991/hssmee-18.2018.49How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guanghui Han
AU  - Gangrong Qu
AU  - Ze Liu
AU  - Pengfei Zhao
PY  - 2018/09
DA  - 2018/09
TI  - The Weighting Algorithms for the Landweber Method in Electromagnetic Tomography
BT  - Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
PB  - Atlantis Press
SP  - 291
EP  - 294
SN  - 2352-5398
UR  - https://doi.org/10.2991/hssmee-18.2018.49
DO  - 10.2991/hssmee-18.2018.49
ID  - Han2018/09
ER  -