• DocumentCode
    168898
  • Title

    Rebar detection: Comparing MUSIC and COMPRESSED approaches

  • Author

    Solimene, Raffaele ; Dell´Aversano, A. ; Leone, G.

  • Author_Institution
    Dipt. di Ing. Ind. e dell´Inf., Seconda Univ. di Napoli, Aversa, Italy
  • fYear
    2014
  • fDate
    June 30 2014-July 4 2014
  • Firstpage
    692
  • Lastpage
    695
  • Abstract
    Rebar detection can be cast as a the problem of localizing point-like scatterers sparsely enclosed within a prescribed investigation domain. Both TR-MUSIC and Compressed Sensing approaches can deal with it and are compared in this paper. The role of noise on data, data sparseness and mutual coupling are examined by numerical examples.
  • Keywords
    compressed sensing; rebar; signal classification; signal detection; MUSIC approach; TR-MUSIC; compressed approach; compressed sensing; data sparseness; mutual coupling; point-like scatterers; rebar detection; Image resolution; Signal resolution; Compresses Sensing; Object localization; TR-MUSIC algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ground Penetrating Radar (GPR), 2014 15th International Conference on
  • Conference_Location
    Brussels
  • Type

    conf

  • DOI
    10.1109/ICGPR.2014.6970515
  • Filename
    6970515
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=168898