Accession Number:

ADA409751

Title:

A Robust Mine Detection Algorithm for Acoustic and Radar Images

Descriptive Note:

Corporate Author:

SCIENCE APPLICATIONS INTERNATIONAL CORPARLINGTON VA

Report Date:

2000-10-01

Pagination or Media Count:

15.0

Abstract:

Current research in minefield detection indicates that operationally no single sensor technology will likely be capable of detecting minesminefields in a real-time manner and at a performance level suitable for a forward maneuver unit. Minefield detection involves a particularly wide range of operating scenarios and environmental conditions, which requires deployment of complementary sensor suites such as acoustic and ground penetrating radar sensors. To aid the sensor fusion required, we have focused on the development of a computationally efficient and robust detection algorithm applicable to a variety of these imaging sensors that exploits robust image processing techniques centered on meaningful target feature sets. This paper presents the detection technique, called the Ellipse Detector, emphasizing its robust architecture, and provides performance results for image data generated by complementary sensors.

Subject Categories:

  • Land Mine Warfare

Distribution Statement:

APPROVED FOR PUBLIC RELEASE