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Proceedings Paper

Parameter optimization of the optimal trade-off maximum average correlation height filter for FLIR imaging in high clutter environments
Author(s): Ahmad Alkandri; Akber Gardezi; Philip Birch; Rupert Young; Chris Chatwin
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Paper 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.

Paper Details

Date Published: 26 April 2011
PDF: 9 pages
Proc. SPIE 8055, Optical Pattern Recognition XXII, 805508 (26 April 2011); doi: 10.1117/12.882823
Show Author Affiliations
Ahmad Alkandri, Univ. of Sussex (United Kingdom)
Akber Gardezi, Univ. of Sussex (United Kingdom)
Philip Birch, Univ. of Sussex (United Kingdom)
Rupert Young, Univ. of Sussex (United Kingdom)
Chris Chatwin, Univ. of Sussex (United Kingdom)

Published in SPIE Proceedings Vol. 8055:
Optical Pattern Recognition XXII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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