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

Image processing

Genetic algorithms

Roads

Fractal analysis

Sensors

Neurons

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