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Proceedings Paper

Processing of GPR data from NIITEK landmine detection system
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Paper Abstract

In this paper, a signal processing approach for wide-bandwidth ground-penetrating-radar imagery from Non-Intrusive Inspection Technology, Incorporated (NIITEK) vehicle-mounted landmine detection sensor is investigated. The approach consists of a sequence of processing steps, which include signal filtering, image enhancement and detection. Filtering strategies before detection aid in image visualization by reducing ground bounce, systematic effects and redundant signals. Post-filter image processing helps by enhancing landmine signatures in the NIITEK radar imagery. Study results from applying this signal processing approach are presented for test minefield lane data, which were collected during 2002 from an Army test site.

Paper Details

Date Published: 11 September 2003
PDF: 8 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.497133
Show Author Affiliations
Justin J. Legarsky, Univ. of Missouri-Columbia (United States)
J. Thomas Broach, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Steven S. Bishop, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway; J. T. Broach, Editor(s)

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