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Proceedings Paper

Automatic GPR target detection and clutter reduction using neural network
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Paper Abstract

Ground penetrating radar (GPR) has been widely used for the detection and location of buried objects. However, the detection method is often subjected to operator's interpretation due to large quantities of data and undesired clutter and noise. Such a detection method is neither reliable nor efficient.

Paper Details

Date Published: 12 April 2002
PDF: 4 pages
Proc. SPIE 4758, Ninth International Conference on Ground Penetrating Radar, (12 April 2002); doi: 10.1117/12.462229
Show Author Affiliations
Hyoung-Sun Youn, The Ohio State Univ. (United States)
Chi-Chih Chen, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 4758:
Ninth International Conference on Ground Penetrating Radar
Steven Koppenjan; Hua Lee, Editor(s)

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