Investigation of the regularization parameter of subspace-based optimization method for reconstruction of uniaxial anisotropic objects
- Resource Type
- Conference
- Authors
- Liu, Yulang; Zhao, Zhiqin; Zhu, Xiaozhang; Nie, Zaiping; Liu, Qing Huo
- Source
- 2016 IEEE 13th International Conference on Signal Processing (ICSP) Signal Processing (ICSP), 2016 IEEE 13th International Conference on. :1882-1885 Nov, 2016
- Subject
- Signal Processing and Analysis
Image reconstruction
Inverse problems
Permittivity
Optimized production technology
Mathematical model
Cost function
inverse scattering
optimization
uniaxial anisotropic media
radiating current
non-radiating current
- Language
- ISSN
- 2164-5221
This paper investigates influence of the regularization parameter L on the performance of subspace-based optimization method in reconstructing uniaxial anisotropic objects. Some criteria are obtained to determine the regularization parameter L. If L is too small, the cost function may not converge well. If L is too large, the noise will be amplified and deteriorate the inverse process. It is found that the regularization parameter of SOM for reconstruction of uniaxial anisotropic objects behaves similarly as that in the isotropic case.