Improved Sampling Methods for Shape Reconstruction of 3-D Buried Targets (Articolo in rivista)

Type
Label
  • Improved Sampling Methods for Shape Reconstruction of 3-D Buried Targets (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TGRS.2008.921745 (literal)
Alternative label
  • Catapano I, Crocco L, Isernia T (2008)
    Improved Sampling Methods for Shape Reconstruction of 3-D Buried Targets
    in IEEE transactions on geoscience and remote sensing
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Catapano I, Crocco L, Isernia T (literal)
Pagina inizio
  • 3265 (literal)
Pagina fine
  • 3273 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 46 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 10 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Catapano I., Crocco L.:CNR, Ist Rilevamento Elettromagnet Ambiente, I-80124 Naples, Italy Isernia T: Univ Mediterranea Reggio Calabria, Dipartimento Informat Matemat Elettron & Trasport, I-89060 Reggio Di Calabria, Italy (literal)
Titolo
  • Improved Sampling Methods for Shape Reconstruction of 3-D Buried Targets (literal)
Abstract
  • This paper addresses the problem of reconstructing geometrical features of 3-D targets embedded into a nonaccessible region from multiview multistatic scattered field data. Sampling methods (SM) are simple and computationally effective approaches to pursue this task. However, their implementation requires a large number of multipolarization sources and probes. Moreover, their performances are often unsatisfactory for aspect-limited measurement configurations and lossy media. In order to tackle these drawbacks, usually faced in subsurface imaging, we propose a simplified and improved formulation based on the physical interpretation of SM. In particular, such a formulation relies on a small number of single polarization probes and exploits multifrequency data, for the first time in the framework of SM. The performances of the resulting approach are verified by monitoring 3-D regions of large extent. (literal)
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