Quantifying the Benefit of Airborne and Ground Sensor Fusion for Target Detection

Quantifying the benefit of airborne and ground sensor fusion for target detection Report Title 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-the-art 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. Conference Name: SPIE Defense, Security, and Sensing Conference Date: April 05, 2010 Submitted to the 2010 Proc. of the SPIE, To Appear. Quantifying the Benefit of Airborne and Ground Sensor Fusion for Target Detection Alina Zare, Miranda Silvious, Ryan Close, and Paul Gader Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA; U.S. Army RDECOM CERDEC, Ft. Belvoir, VA, USA