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Proceedings Paper

Genetic algorithms for automatic algorithm and parameter selection in ATR applications
Author(s): Paul G. Ducksbury; Margaret J. Varga; P. J. Kent; Stephen B. Foulkes; David M. Booth
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Paper Abstract

One of the difficulties that has been apparent in applying image processing algorithms not just for automatic target recognition but also for associated tasks in image processing and understanding is that of the optimal choice of parameters and algorithms. Firstly we must select an algorithm to use and secondly the actual parameters that are required by that algorithm. It is also the case that using a chosen algorithm on a different image class yields results of a totally different quality, here we consider three image classes, namely infra-red linescan, dd5-Russian satellite and SPOT imagery. We are now exploring the use of genetic algorithms for the purpose of parameter and algorithm selection and will show how the approach can successfully obtain results which in the past have tended to be obtained somewhat heuristically.

Paper Details

Date Published: 18 September 1998
PDF: 11 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323831
Show Author Affiliations
Paul G. Ducksbury, Defence Evaluation and Research Agency Malvern (United Kingdom)
Margaret J. Varga, Defence Evaluation and Research Agency Malvern (United Kingdom)
P. J. Kent, Defence Evaluation and Research Agency Malvern (United Kingdom)
Stephen B. Foulkes, Defence Evaluation and Research Agency Malvern (United Kingdom)
David M. Booth, Defence Evaluation and Research Agency Malvern (United Kingdom)


Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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