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Proceedings Paper

Detecting buried mines in ground-penetrating radar using a Hough transform approach
Author(s): Mark J. Carlotto
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Paper Abstract

A method for detecting buried mines in ground penetrating radar (GPR) data using a Hough transform approach is described. GPR is one of three sensors used in the Mine Hunter/Killer (MH/K) system for detecting buried mines. A buried mine modeled as a point scatterer in object space gives rise to a hyperbolic response in GPR measurement space. Our approach uses the Hough transform to recover the object space representation (i.e., the location of mines in x, y, and depth) from the GPR data, in effect 'deconvolving' the response of the radar. This is done by having each point in measurement space vote for all points in object space where the mine could be located. Against a baseline energy detector, the Hough algorithm shows a one half order reduction in false alarm rate at a fixed probability of detection for low metal, metal, and non metal mines.

Paper Details

Date Published: 6 August 2002
PDF: 11 pages
Proc. SPIE 4741, Battlespace Digitization and Network-Centric Warfare II, (6 August 2002); doi: 10.1117/12.478719
Show Author Affiliations
Mark J. Carlotto, Veridian Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 4741:
Battlespace Digitization and Network-Centric Warfare II
Raja Suresh; William E. Roper; William E. Roper, Editor(s)

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