Fractals and Independent Component Analysis for Defect Detection in Bridge Decks

Joint Authors

Abu-Amara, Fadi
Abdel-Qader, Ikhlas
Abudayyeh, Osama Y.

Source

Advances in Civil Engineering

Issue

Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2011-08-29

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Abdel-Qader, Ikhlas& Abu-Amara, Fadi& Abudayyeh, Osama Y.. 2011. Fractals and Independent Component Analysis for Defect Detection in Bridge Decks. Advances in Civil Engineering،Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-477059

Modern Language Association (MLA)

Abdel-Qader, Ikhlas…[et al.]. Fractals and Independent Component Analysis for Defect Detection in Bridge Decks. Advances in Civil Engineering No. 2011 (2011), pp.1-14.
https://search.emarefa.net/detail/BIM-477059

American Medical Association (AMA)

Abdel-Qader, Ikhlas& Abu-Amara, Fadi& Abudayyeh, Osama Y.. Fractals and Independent Component Analysis for Defect Detection in Bridge Decks. Advances in Civil Engineering. 2011. Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-477059

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-477059