MACH filter synthesizing for detecting targets in cluttered environment for grayscale optical correlator

Hanying Zhou; Tien-Hsin Chao

doi:10.1117/12.341322

9 March 1999 MACH filter synthesizing for detecting targets in cluttered environment for grayscale optical correlator

Hanying Zhou, Tien-Hsin Chao

Proceedings Volume 3715, Optical Pattern Recognition X; (1999) https://doi.org/10.1117/12.341322
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

We have recently demonstrated a compact, high speed, gray- scale optical correlator for target detection. The capability of the direct gray-scale scene input and the gray-scale (real- valued) filter modulation enables us to implement a near- theoretical optimal filter on the optical correlator. This paper describes filter synthesizing algorithm for detecting targets in cluttered background input scene and the projection from the complex filter version to the real version for implementation on the gray-scale optical correlator. It is based on optimal-tradeoff MACH filter. It was found that using an appropriate simulated noise image to substitute the commonly used white noise in the filter design procedure is a very effective way to suppress clutter noise while maintain high tolerance for distortion. Both simulation and experimental results are provided.

Citation Download Citation

Hanying Zhou and Tien-Hsin Chao "MACH filter synthesizing for detecting targets in cluttered environment for grayscale optical correlator", Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); https://doi.org/10.1117/12.341322

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