An efficient composite algorithm for rough surface reconstruction

Basing on the exact spectral formalism, using the composite method that combines the numerical and approximate algorithms, the reconstruction problem for the rough surface is investigated. For the direct problem, the scattering data is obtained by the numerical algorithm-the method of moments (MOM), the Banded-Matrix-Iterative-Approach/Canonical Grid method (BMIA/CAG), and the forward-backward iterative method (FBM); For the inverse problem, the profile of rough surface with different roughness is reconstructed by two approximate algorithms - the small perturbation approximation (SPA) and the Kirchhoff approximation (KA) combined with the method of moments, the Banded-Matrix-Iterative-Approach/ Canonical Grid method, and forward-backward iterative method (FBM). The numerical results of reconstructed rough surface with different roughness are presented with the composite method, and the data are compared and analyzed.