TY  - GEN
ID  - elediasc12415
A1  - Donelli, Massimo
A1  - Franceschini, Davide
A1  - Franceschini, Gabriele
A1  - Massa, Andrea
KW  - Microwave Imaging
KW  -  Multi-View System
KW  -  Iterative Multi-Scaling Approach
KW  -  Experimental Data.
AV  - public
UR  - http://www.eledia.org/students-reports/415/
Y1  - 2004/08//
TI  - Effective Exploitation of Multi-View Data through the Iterative Multi-Scaling Method - An Experimental Assessment
N2  - The reconstruction capabilities of a microwave imaging algorithm can be enhanced by exploiting a multi-view measurement set-up. In the past, different researches have proved that collecting scattering data by probing the unknown scenario from different incidence angles, it allows to acquire more information on the scenario when the Iterative Multi-Scaling Approach (IMSA) is used to fully exploit multi-view data. In fact, unlike synthetic data, in real enviroment more measurements introduce larger systematic errors that could affect the physical constraints used in the inversion procedure and, consequently, the reconstruction process. Thus, the analysis is carried out by considering a set of experimental data concerning different scattering configurations involving single and multiple dielectric scatterers.
ER  -