29 April 2010 Improved detection and false alarm rejection using FLGPR and color imagery in a forward-looking system
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Abstract
Forward-looking ground-penetrating radar (FLGPR) has received a significant amount of attention for use in explosivehazards detection. A drawback to FLGPR is that it results in an excessive number of false detections. This paper presents our analysis of the explosive-hazards detection system tested by the U.S. Army Night Vision and Electronic Sensors Directorate (NVESD). The NVESD system combines an FLGPR with a visible-spectrum color camera. We present a target detection algorithm that uses a locally-adaptive detection scheme with spectrum-based features. The remaining FLGPR detections are then projected into the camera imagery and image-based features are collected. A one-class classifier is then used to reduce the number of false detections. We show that our proposed FLGPR target detection algorithm, coupled with our camera-based false alarm (FA) reduction method, is effective at reducing the number of FAs in test data collected at a US Army test facility.
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Timothy C. Havens, Timothy C. Havens, Christopher J. Spain, Christopher J. Spain, K. C. Ho, K. C. Ho, James M. Keller, James M. Keller, Tuan T. Ton, Tuan T. Ton, David C. Wong, David C. Wong, Mehrdad Soumekh, Mehrdad Soumekh, } "Improved detection and false alarm rejection using FLGPR and color imagery in a forward-looking system", Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 76641U (29 April 2010); doi: 10.1117/12.852274; https://doi.org/10.1117/12.852274
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