Accession Number:

ADA586217

Title:

Narrow-Band Processing and Fusion Approach for Explosive Hazard Detection in FLGPR

Descriptive Note:

Conference paper

Corporate Author:

MISSOURI UNIV-COLUMBIA OFFICE OF SPONSORED PROGRAMS ADMINISTRATION

Personal Author(s):

• Havens, Timothy C.
• Keller, James M.
• Ho, K. C.
• Ton, Tuan T.
• Wong, David C.
• Soumekh, Mehrdad

Report Date:

2011-01-01

Pagination or Media Count:

16.0

Abstract:

This paper proposes an effective anomaly detection algorithm for a forward-looking ground-penetrating radar FLGPR. One challenge for threat detection using FLGPR is its high dynamic range in response to different kinds of targets and clutter objects. The application of a fixed threshold for detection in a full-band radar image often yields a large number of false alarms. We propose a method that uses both narrow-band and full-band radar processing, coupled with a classifier that uses complex-valued Gabor filter responses as the features. We then fuse the narrow-band and full-band images into a composite confidence map and detect local maxima in this map to produce candidate alarm locations. Full-band radar images provide a high degree of image resolution, while narrow-band images provide a means to detect targets which have a unique narrow-band signature. Experimental results for our improved detection techniques are demonstrated on data sets collected at a US Army test site.

Descriptors:

• *GROUND PENETRATING RADAR
• EXPLOSIVES DETECTION
• FORWARD LOOKING
• NARROWBAND
• SENSOR FUSION

Subject Categories:

• Cybernetics
• Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE