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/).
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 -