A mine field detection algorithm utilizing data from an ultra-wideband wide-area surveillance radar

被引：27

作者：

Nguyen, L ^{[1
]}

Kappra, K ^{[1
]}

Wong, D ^{[1
]}

Kapoor, R ^{[1
]}

Sichina, J ^{[1
]}

机构：

[1] USA, Res Lab, Adelphi, MD 20783 USA

来源：

DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS III, PTS 1 AND 2 | 1998年 / 3392卷

关键词：

ultra-wideband radar; ground-penetrating radar; SAR; automatic target detection; mine detection; phenomenology; computational electromagnetics;

D O I：

10.1117/12.324236

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：627 / 643

页数：17