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Wires do not have linear structure to aid their detection when they are not lying straight. This paper proposes some features for curved wire detection from the images constructed by the data of a ground penetrating radar. We propose the application of a parabola to model a curved wire, where the detection confidence corresponds to how well the curved pattern in the image fits to a parabola. The processing involves projecting the 3-D GPR beamformed image onto the ground plane, applying the Canny edge detector to extract the edge points, and fitting the edge points to a parabola through a voting scheme as in the generalized Hough Transform. The features consist of the orientation angle, the fitted parabolic parameters and the fitting confidence. Some examples for the detection performance are illustrated.
Jackson Moeller,Dominic K. C. Ho, andDerek Anderson
"Detection of curved wires by ground-penetrating radar", Proc. SPIE 12541, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIV, 125410F (14 June 2023); https://doi.org/10.1117/12.2659568
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Jackson Moeller, Dominic K. C. Ho, Derek Anderson, "Detection of curved wires by ground-penetrating radar," Proc. SPIE 12541, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIV, 125410F (14 June 2023); https://doi.org/10.1117/12.2659568