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


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a586217.pdf


Report Date : Jan 2011


Pagination or Media Count : 16


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 & Passive Radar Detection & Equipment


Distribution Statement : APPROVED FOR PUBLIC RELEASE