Title :
A Total Variation compressive sensing technique for imaging large scatterers
Author :
Anselmi, Nicola ; Oliveri, G. ; Massa, A.
Author_Institution :
ELEDIA Res. Center @ DISI, Univ. of Trento, Trento, Italy
Abstract :
An innovative compressive sensing (CS) technique is proposed for microwave imaging non-sparse scatterers under Born Approximation. Toward this end, the microwave imaging problem is reformulated within the Total Variation paradigm, and an Augmented Lagrangian Functional is deduces which encodes the a-priori knowledge of the stepwise nature of the contrast profiles at hand. Preliminary numerical examples are reported to assess the features of the proposed methodology.
Keywords :
compressed sensing; inverse problems; microwave imaging; Born approximation; a-priori knowledge; augmented Lagrangian functional; encoding; imaging large scatterers; microwave imaging nonsparse scatterers; total variation compressive sensing technique; Approximation methods; Compressed sensing; Image reconstruction; Microwave imaging; Microwave theory and techniques; Scattering; Born approximation; Inverse problems; compressive sensing; microwave imaging; total variation;
Conference_Titel :
Antennas and Propagation (EuCAP), 2014 8th European Conference on
Conference_Location :
The Hague
DOI :
10.1109/EuCAP.2014.6902022
