Shape Reconstruction Of Perfectly Conducting Objects By Multiview Experimental Data (Articolo in rivista)

Type
Label
  • Shape Reconstruction Of Perfectly Conducting Objects By Multiview Experimental Data (Articolo in rivista) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Alternative label
  • Soldovieri F., Brancaccio A., Leone G., Pierri R. (2005)
    Shape Reconstruction Of Perfectly Conducting Objects By Multiview Experimental Data
    in IEEE transactions on geoscience and remote sensing
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Soldovieri F., Brancaccio A., Leone G., Pierri R. (literal)
Pagina inizio
  • 65 (literal)
Pagina fine
  • 71 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 43 (literal)
Rivista
Note
  • Scopus (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • F. Soldovieri is with Istituto per il Rilevamento Elettromagnetico dell’Ambiente, IREA-CNR, I-80124 Naples, Italy A. Brancaccio and R. Pierri are with Dipartimento di Ingegneria dell’Informazione, Seconda Università di Napoli, I-81031, Aversa, Italy G. Leone is with Dipartimento di Informatica, Matematica, Elettronica e Trasporti (DIMET), Università “Mediterranea” di Reggio Calabria, I-89060 (literal)
Titolo
  • Shape Reconstruction Of Perfectly Conducting Objects By Multiview Experimental Data (literal)
Abstract
  • This paper deals with the experimental validation of an algorithm, based on the Kirchhoff approximation, for the shape reconstruction of conducting objects from scattered field data. Measured data are collected in a controlled environment under a reflection mode with a finite observation domain and multiview/multistatic/multifrequency configuration. The results show the effectiveness of the approach which takes into account the view diversity by a simple strategy and a threshold procedure. (literal)
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