A CSEB subspace-based optimization method for reconstruction of uniaxial anisotropic objects

This paper deals with the image reconstruction from measured scattered field data for 2D uniaxial anisotropic objects. There are two main contributions of this work. First, the CSEB model was designed to deal with the reconstruction of isotropic objects. In this paper, the CSEB model is modified for the inverse problem of uniaxial anisotropic case. Second, it is demonstrated by the numerical examples that the degree of nonlinearity of the problem is decreased compared with the original model, and this outcome is the same as it is shown in the isotropic case. Third, subspace techniques are introduced in the framework of CSEB model. Numerical examples demonstrate the effectiveness of the CSEB-SOM for reconstruction of uniaxial anisotropic objects.