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Proceedings Paper

Quantifying the benefit of airborne and ground sensor fusion for target detection
Author(s): Alina Zare; Miranda Silvious; Ryan Close; Paul Gader
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Paper Abstract

In this paper, a study involving the detection of buried objects by fusing airborne Multi-Spectral Imagery (MSI) and ground-based Ground Penetrating Radar (GPR) data is investigated. The benefit of using the airborne sensor to cue the GPR, which will then search the area indicated by the MSI, is investigated and compared to results obtained via a purely ground-based system. State-of-the-art existing algorithms, such as hidden Markov models will be applied to the GPR data both in queued and non-queued modes. In addition, the ability to measure disturbed earth with the GPR sensor will be investigated. Furthermore, state-of-theart algorithms for the MSI system will be described. These algorithms require very high detection rates with acceptable false alarm rates in order to serve as an acceptable system. Results will be presented on data collected at outdoor testing and evaluation sites.

Paper Details

Date Published: 29 April 2010
PDF: 6 pages
Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 76640J (29 April 2010); doi: 10.1117/12.863838
Show Author Affiliations
Alina Zare, Univ. of Florida (United States)
Miranda Silvious, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Ryan Close, Univ. of Florida (United States)
Paul Gader, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 7664:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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