Two dimensional entropy and short time Fourier Transform application on ground penetrating radar data analysis

Panglijen Candra; Tian Xia; Dryver Huston; Guoan Wang

doi:10.1117/12.2010224

24 April 2013 Two dimensional entropy and short time Fourier Transform application on ground penetrating radar data analysis

Panglijen Candra, Tian Xia, Dryver Huston, Guoan Wang

Author Affiliations +

Proceedings Volume 8694, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013; 86940J (2013) https://doi.org/10.1117/12.2010224
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2013, San Diego, California, United States

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.

Citation Download Citation

Panglijen Candra, Tian Xia, Dryver Huston, and Guoan Wang "Two dimensional entropy and short time Fourier Transform application on ground penetrating radar data analysis", Proc. SPIE 8694, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013, 86940J (24 April 2013); https://doi.org/10.1117/12.2010224

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