Genetic algorithms for automatic algorithm and parameter selection in ATR applications

Paul G. Ducksbury; Margaret J. Varga; P. J. Kent; Stephen B. Foulkes; David M. Booth

doi:10.1117/12.323831

18 September 1998 Genetic algorithms for automatic algorithm and parameter selection in ATR applications

Paul G. Ducksbury, Margaret J. Varga, P. J. Kent, Stephen B. Foulkes, David M. Booth

Proceedings Volume 3371, Automatic Target Recognition VIII; (1998) https://doi.org/10.1117/12.323831
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Paul G. Ducksbury, Margaret J. Varga, P. J. Kent, Stephen B. Foulkes, and David M. Booth "Genetic algorithms for automatic algorithm and parameter selection in ATR applications", Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); https://doi.org/10.1117/12.323831

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