Abstract
Ground penetrating radar (GPR) scans of rebar embedded in concrete structures produce distinct hyperbolic signatures. These signatures can be removed from the data as a preprocess to the identification of other embedded objects. This work is a step towards achieving an unsupervised detection of defects in concrete bridge decks. The proposed algorithm detects the signature of rebar(s) in a GPR scan through image segmentation, arc detection, and a thresholding process. The position and depth of the rebar(s) and the dielectric properties of the concrete are derived.
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