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2013-04-02

Fast Detection of GPR Objects with Cross Correlation and Hough Transform

By Jian Wang and Yi Su
Progress In Electromagnetics Research C, Vol. 38, 229-239, 2013
doi:10.2528/PIERC13022510

Abstract

A GPR object detection algorithm delivers a promising performance using the Hough transform through a high computational load. This paper presents a fast Hough-based algorithm. To reduce the parameter space of the Hough transform, first, two parameters for a reflection hyperbola were estimated using cross correlation between adjacent A-scans. Next, only a 1D Hough transform is necessary to detect an object compared with the 3D transform, which comprises the traditional Hough-based methods. Our method is compared with three other detection methods using field data. The results show that the proposed method has an encouraging detection ability and high computational efficiency.

Citation


Jian Wang and Yi Su, "Fast Detection of GPR Objects with Cross Correlation and Hough Transform," Progress In Electromagnetics Research C, Vol. 38, 229-239, 2013.
doi:10.2528/PIERC13022510
http://jpier.org/PIERC/pier.php?paper=13022510

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