Narrow-band processing and fusion approach for explosive hazard detection in FLGPR

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

doi:10.1117/12.884610

23 May 2011 Narrow-band processing and fusion approach for explosive hazard detection in FLGPR

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

Proceedings Volume 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI; 80171F (2011) https://doi.org/10.1117/12.884610
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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 fullband 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.

Citation Download Citation

Timothy C. Havens, James M. Keller, K. C. Ho, Tuan T. Ton, David C. Wong, and Mehrdad Soumekh "Narrow-band processing and fusion approach for explosive hazard detection in FLGPR", Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80171F (23 May 2011); https://doi.org/10.1117/12.884610

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