Mine field detection algorithm utilizing data from an ultrawideband wide-area surveillance radar

Lam H. Nguyen; Karl A. Kappra; David C. Wong; Ravinder Kapoor; Jeffrey Sichina

doi:10.1117/12.324236

4 September 1998 Mine field detection algorithm utilizing data from an ultrawideband wide-area surveillance radar

Lam H. Nguyen, Karl A. Kappra, David C. Wong, Ravinder Kapoor, Jeffrey Sichina

Proceedings Volume 3392, Detection and Remediation Technologies for Mines and Minelike Targets III; (1998) https://doi.org/10.1117/12.324236
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

The Army Research Laboratory (ARL), as part of its mission- funded applied research program, has been evaluating the utility of a low-frequency, ultra-wideband (UWB) imaging radar to detect obscured targets such as vehicles concealed by foliage and objects buried underground. This paper concentrates on a specific area of great interest to the Army: the reliable detection of surface and buried mines. Measurement programs conducted at Yuma Proving Ground and elsewhere have yielded a significant and unique database of extremely wideband and (in many cases) fully polarimetric data. We will review recent findings from ARL's modeling, phenomenology and detection efforts. We also included a discussion of an end-to-end detection strategy that has been trained and tested against a significant data set. Performance assessments are included that detail detection rates versus false alarm levels.

Citation Download Citation

Lam H. Nguyen, Karl A. Kappra, David C. Wong, Ravinder Kapoor, and Jeffrey Sichina "Mine field detection algorithm utilizing data from an ultrawideband wide-area surveillance radar", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); https://doi.org/10.1117/12.324236

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