TY  - RPRT
M1  - technical_report
PB  - ELEDIA Research Center - University of Trento
A1  - SALUCCI, Marco
A1  - POLI, Lorenzo
A1  - ZARDI, Francesco
A1  - TOSI, Luca
A1  - LUSA, Samantha
A1  - MASSA, Andrea
KW  - microwave imaging (MI)
KW  -  contrast source inversion (CSI)
KW  -  Bayesian compressive sensing (BCS)
KW  -  inverse scattering (IS)
N2  - 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.
UR  - http://www.eledia.org/students-reports/911/
Y1  - 2025///
ID  - elediasc12911
TI  - Multi-Resolution Bayesian Compressive Sensing for Sparse Target Inversion
AV  - public
ER  -