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Optimization of OT-MACH Filter Generation for Target RecognitionAn 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, alpha, beta, and gamma. 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 alpha, beta, gamma values. This corresponded to a substantial improvement in detection performance where the true positive rate increased for the same average false positives per image.

Document ID
Document Type
Conference Paper
External Source(s)
Johnson, Oliver C. (Harvey Mudd Coll. Claremont, CA, United States)
Edens, Weston (Butler Univ. Indianapolis, IN, United States)
Lu, Thomas T. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Chao, Tien-Hsin (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
May 18, 2015
Publication Date
April 13, 2009
Subject Category
Communications and Radar
Meeting Information
SPIE Defense, Security and Sensing(Orlando, FL)
Distribution Limits
false alarm reduction