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Proceedings Paper

Two dimensional entropy and short time Fourier Transform application on ground penetrating radar data analysis
Author(s): Panglijen Candra; Tian Xia; Dryver Huston; Guoan Wang
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Paper Abstract

Accurate detection of rebar location using Ground Penetrating Radar (GPR) proves to be very useful in assessing roadway/bridge deck concrete structure. Due to large signal processing resource needed to locate and image rebar on a whole road structure, more efficient signal processing method is needed. This paper proposes to combine two-dimensional (2D) entropy algorithm to narrow down the scope of interested data from large radar data set and Short Time Fourier Transform (STFT) algorithm to perform further feature characterization. To validate the analysis, experiments with different rebar setups are conducted.

Paper Details

Date Published: 24 April 2013
PDF: 6 pages
Proc. SPIE 8694, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013, 86940J (24 April 2013); doi: 10.1117/12.2010224
Show Author Affiliations
Panglijen Candra, Univ. of Vermont (United States)
Tian Xia, Univ. of Vermont (United States)
Dryver Huston, Univ. of Vermont (United States)
Guoan Wang, Univ. of South Carolina (United States)


Published in SPIE Proceedings Vol. 8694:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013
Tzu Yang Yu, Editor(s)

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