Pubblicazioni

Versione: 1.1 Approvato

LDO-ID 2016-04-06-03

Titolo A strategy for reconstructing simple shapes from under-sampled backscattered data

Abstract

The shape reconstruction of a strong large scattering objectmade up of elementary shapes and embedded within a large investigation domainis dealt with from under-sampled multi-frequency backscattered field data. First,a migration algorithm is run that, despite aliasing, allows reducing the spatial region where the scatterer can be located. Then, the overall shape is determined by identifying the elementary ones through a MUSIC-like algorithm.The approach is numerically tested for a 2D geometry and it proves to be robust against uncertainties on data.

Autori Dell'Aversano Angela, Leone Giovanni, Solimene Raffaele, Ciaramaglia Franco

Tipologia Paper for Seminar/Symposium/Conference

Media IEEE Geoscience and Remote Sensing Letters, 2016, Volume: 13, Issue: 12

Sito web

Anno 2016