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Proceedings Paper

Mine detection using SF-GPR: a signal processing approach for resolution enhancement and clutter reduction
Author(s): Brian Karlsen; Kaj Bjarne Jakobsen; Jan Larsen; Helge B.D. Sorensen
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Paper Abstract

Proper clutter reduction is essential for Ground Penetrating Radar data since low signal-to-clutter ratio prevent correct detection of mine objects. A signal processing approach for resolution enhancement and clutter reduction used on Stepped-Frequency Ground Penetrating Radar (SF-GPR) data is presented, and the effects of combining clutter reduction with resolution enhancement are examined using simulated SF-GPR data examples. The resolution enhancement method is based on methods from optical signal processing and is largely carried out in the frequency domain to reduce the computational burden. The clutter reduction method is based on basis function decomposition of the SF-GPR time-series from which the clutter and the signal are separated.

Paper Details

Date Published: 18 October 2001
PDF: 11 pages
Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); doi: 10.1117/12.445535
Show Author Affiliations
Brian Karlsen, Danmarks Tekniske Univ. (Denmark)
Kaj Bjarne Jakobsen, Danmarks Tekniske Univ. (Denmark)
Jan Larsen, Danmarks Tekniske Univ. (Denmark)
Helge B.D. Sorensen, Danmarks Tekniske Univ. (Denmark)


Published in SPIE Proceedings Vol. 4394:
Detection and Remediation Technologies for Mines and Minelike Targets VI
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Vivian George, Editor(s)

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