Automatic mine detection based on ground penetrating radar

被引：41

作者：

Yu, SH ^{[1
]}

Mehra, RK ^{[1
]}

Witten, TR ^{[1
]}

机构：

[1] Sci Syst Co Inc, Woburn, MA 01801 USA

来源：

DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS IV, PTS 1 AND 2 | 1999年 / 3710卷

关键词：

mine detection; ground penetrating radar; principal components analysis; template matching; novelty detection;

D O I：

10.1117/12.357116

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：

We describe several automatic mine detection algorithms in this paper. These methods were tested on real Ground Penetrating Radar (GPR) data and showed dramatic improvement in terms of probability of detection and false alarm rates compared to energy based techniques. The main contributions of this paper are as follows. (1) Only background clutter data, instead of mine data, are needed for the development of the algorithms, which makes collection of data for training and adapting the algorithms to new environment much easier than methods requiring both clutter and mine data for training. (2) The mine detection algorithms are developed in a fairly general form, and thus can be ported to other sensor platforms or future generations of mine detection hardware with little modification. (3) The algorithms require little on-line computation. (4) Adaptation of the algorithms to new environment or mine-fields is done automatically, which reduces human resources and the cost of training.

引用

页码：961 / 972

页数：12