Narrow-Band Processing and Fusion Approach for Explosive Hazard Detection in FLGPR
MISSOURI UNIV-COLUMBIA OFFICE OF SPONSORED PROGRAMS ADMINISTRATION
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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.
- Active and Passive Radar Detection and Equipment