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| Publications [#60373] of Leslie M. Collins
Papers Published
- Torrione, Peter A. and Collins, Leslie and Clodfelter, Fred and Lulich, Dan and Patrikar, Ajay and Howard, Peter and Weaver, Richard and Rosen, Erik, Constrained filter optimization for subsurface landmine detection,
Proceedings of SPIE - The International Society for Optical Engineering, vol. 6217 II
(2006),
pp. 62172 -, Kissimmee, FL, United States [12.665780]
(last updated on 2007/04/11)
Abstract: Previous large-scale blind tests of anti-tank landmine detection utilizing the NIITEK ground penetrating radar indicated the potential for very high anti-tank landmine detection probabilities at very low false alarm rates for algorithms based on adaptive background cancellation schemes. Recent data collections under more heterogeneous multi-layered road-scenarios seem to indicate that although adaptive solutions to background cancellation are effective, the adaptive solutions to background cancellation under different road conditions can differ significantly, and misapplication of these adaptive solutions can reduce landmine detection performance in terms of PD/FAR. In this work we present a framework for the constrained optimization of background-estimation filters that specifically seeks to optimize PD/FAR performance as measured by the area under the ROC curve between two FARs. We also consider the application of genetic algorithms to the problem of filter optimization for landmine detection. Results indicate robust results for both static and adaptive background cancellation schemes, and possible real-world advantages and disadvantages of static and adaptive approaches arc discussed.
Keywords: Ground penetrating radar systems;Adaptive systems;Optimization;Genetic algorithms;Regression analysis;Mines;
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