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Fractals and Independent Component Analysis for Defect Detection in Bridge Decks

Auteur(s):


Médium: article de revue
Langue(s): anglais
Publié dans: Advances in Civil Engineering, , v. 2011
Page(s): 1-14
DOI: 10.1155/2011/506464
Abstrait:

We present in this paper a framework for the automatic detection and localization of defects inside bridge decks. Using Ground-Penetrating Radar (GPR) raw scans, this framework is composed of a feature extraction algorithm using fractals to detect defective regions and a deconvolution algorithm using banded-independent component analysis (ICA) to reduce overlapping between reflections and to estimate the radar waves travel time and depth of defects. Results indicate that the defects' estimated horizontal location and depth falling within 2 cm (76.92% accuracy) and 1 cm (84.62% accuracy) from their actual values.

Copyright: © 2011 Ikhlas Abdel-Qader et al.
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 3.0 (CC-BY 3.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée.

  • Informations
    sur cette fiche
  • Reference-ID
    10177016
  • Publié(e) le:
    07.12.2018
  • Modifié(e) le:
    16.04.2023
 
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