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Proceedings Paper

Detection algorithms for ultrawideband foliage-penetration radar
Author(s): Lam H. Nguyen; Ravinder Kapoor; Jeffrey Sichina
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Paper Abstract

The Army Research Laboratory (ARL), as part of its mission- funded exploratory development program, has been evaluating the use of a low-frequency, ultra-wideband imaging radar to detect tactical vehicles concealed by foliage. An instrumentation-grade measurement system has been designed and implemented by ARL. Extensive testing of this radar over the preceding 18 months has led to the establishment of a significant and unique data base of radar imagery. We are currently using these data to develop target detection algorithms which can aid an operator in separating vehicles of interest from background. This paper provides early findings from the algorithm development effort. To date, our efforts have concentrated on identifying computationally simple strategies for canvassing large areas for likely target occurrences--i.e., prescreening of the imagery. Phenomenologically-sound features are being evaluated for discrimination capability. Performance assessments, in terms of receiver operating characteristics, detail detection capabilities at various false alarm rates.

Paper Details

Date Published: 10 June 1997
PDF: 12 pages
Proc. SPIE 3066, Radar Sensor Technology II, (10 June 1997); doi: 10.1117/12.276105
Show Author Affiliations
Lam H. Nguyen, Army Research Lab. (United States)
Ravinder Kapoor, Army Research Lab. (United States)
Jeffrey Sichina, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 3066:
Radar Sensor Technology II
Robert Trebits; James L. Kurtz, Editor(s)

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