Surface Movement Radar Image Correlation Using Genetic Algorithm
The goal of this work is to describe an application of Genetic Algorithms to to a real aeronautical problem involving radar images. The paper presents the aeronautical problem, the specific implementation of the Genetic Algorithm and the result of the variation of some of the parameters of the Genetic Algorithm in term of time employed by the process, and ability to reach a useful solution of the aeronautical problem in a given time. The aeronautical problem is to find the position, orientation and dimension of a radar observed target. All the methods used here involve the correlation between an actual radar image and a template image. The Genetic Algorithm itself is not standard since it involve a dynamic computation of the best value for the probability of mutation. The probability of mutation (Pm) is dynamically adjusted according to the fitness of the best individual so that a worse fitness gives a greater probability of mutation and a better individual gives a lower probability of mutation.
KeywordsRadar Image Correlation Genetic Algorithms A-SMGCS Air Traffic Control
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