%I ELEDIA Research Center - University of Trento
%X Non-Born scatterer retrieval is addressed within the contrast source inversion (CSI) framework using a novel multi-step inverse scattering approach. The unknown contrast sources are represented in a multi-resolution (MR) framework and iteratively reconstructed using a Bayesian compressive sensing (BCS) approach, which employs a constrained relevance vector machine solver to promote sparsity. To assess the reliability and robustness of the proposed MR-BCS-CSI method, representative inversions from both synthetic and experimental data are presented. Additionally, comparisons with recent state-of-the-art alternatives are provided.
%L elediasc12911
%T Multi-Resolution Bayesian Compressive Sensing for Sparse Target Inversion
%D 2025
%A Marco SALUCCI
%A Lorenzo POLI
%A Francesco ZARDI
%A Luca TOSI
%A Samantha LUSA
%A Andrea MASSA
%K microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)