Parameter optimization of the optimal trade-off maximum average correlation height filter for FLIR imaging in high clutter environments

Ahmad Alkandri; Akber Gardezi; Philip Birch; Rupert Young; Chris Chatwin

doi:10.1117/12.882823

26 April 2011 Parameter optimization of the optimal trade-off maximum average correlation height filter (OT-MACH) for FLIR imaging in high clutter environments

Ahmad Alkandri, Akber Gardezi, Philip Birch, Rupert Young, Chris Chatwin

Author Affiliations +

Proceedings Volume 8055, Optical Pattern Recognition XXII; 805508 (2011) https://doi.org/10.1117/12.882823
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

A frequency domain implementation of the Optimal Trade-off Maximum Average Correlation Height (OT-MACH) filter has been optimized to classify target vehicles acquired from a Forward Looking Infra Red (FLIR) sensor. The clutter noise does not have a white spectrum and models employing the power spectral density of the background clutter require a predefined threshold. A method of automatically adjusting the noise model in the filter by using the input image statistical information has been introduced. Parameter surfaces for the remaining OT-MACH variables are calculated in order to determine optimal operating conditions for the view independent recognition of vehicles in highly cluttered FLIR imagery.

Citation Download Citation

Ahmad Alkandri, Akber Gardezi, Philip Birch, Rupert Young, and Chris Chatwin "Parameter optimization of the optimal trade-off maximum average correlation height filter (OT-MACH) for FLIR imaging in high clutter environments", Proc. SPIE 8055, Optical Pattern Recognition XXII, 805508 (26 April 2011); https://doi.org/10.1117/12.882823

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