%0 Report
%9 Technical Report
%A SALUCCI, Marco
%A POLI, Lorenzo
%A ZARDI, Francesco
%A TOSI, Luca
%A LUSA, Samantha
%A MASSA, Andrea
%D 2025
%F elediasc12:916
%K microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)
%T Contrast Source Inversion of Non-Born Scatterers with Multi-Resolution Bayesian Learning
%U http://www.eledia.org/students-reports/916/
%X This report introduces an advanced multi-step inverse scattering method within the contrast source inversion (CSI) framework to reconstruct non-Born scatterers. The approach employs a multi-resolution (MR) representation to flexibly model the unknown contrast sources, which are iteratively estimated using a Bayesian compressive sensing (BCS) technique. The proposed MR-BCS-CSI method is rigorously evaluated through different case studies, demonstrating high accuracy, stability, and robustness. A comparative analyses is performed to further highlight its effectivenes.