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Optimization of OT-MACH filter generation for target recognition

Show simple item record Johnson, Oliver C. Edens, Weston Lu, Thomas T Chao, Tien-Hsin 2014-08-07T21:37:21Z 2014-08-07T21:37:21Z 2009-04-13
dc.identifier.citation SPIE Defense, Security and Sensing, Orlando, Florida, April 13-17, 2009 en_US
dc.identifier.clearanceno 09-0998
dc.description.abstract An automatic Optimum Trade-off Maximum Average Correlation Height (OT-MACH) filter generator for use in a gray-scale optical correlator (GOC) has been developed for improved target detection at JPL. While the OT-MACH filter has been shown to be an optimal filter for target detection, actually solving for the optimum is too computationally intensive for multiple targets. Instead, an adaptive step gradient descent method was tested to iteratively optimize the three OT-MACH parameters, α, β, and γ. The feedback for the gradient descent method was a composite of the performance measures, correlation peak height and peak to side lobe ratio. The automated method generated and tested multiple filters in order to approach the optimal filter quicker and more reliably than the current manual method. Initial usage and testing has shown preliminary success at finding an approximation of the optimal filter, in terms of α, β, γ values. This corresponded to a substantial improvement in detection performance where the true positive rate increased for the same average false positives per image. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2009 en_US
dc.subject correlation en_US
dc.subject false alarm reduction en_US
dc.subject detection en_US
dc.title Optimization of OT-MACH filter generation for target recognition en_US
dc.type Presentation en_US

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