Calculation of Aircraft Area on Satellite Images by Genetic Algorithm

Classical genetic algorithm is used in a computational experiment, which is described in this article, to measure an area of the aircraft Boeing 737-300. Satellite images containing objects of interest are selected as initial data. The computational experiment consists of two steps. The first step presents the generalized formulas of values. These formulas are needed to select initial images, using the theory of modified descriptive algebra of images. After that, the initial data is formed according to the calculated values, i.e. the satellite image is chosen in the needed scale and the shooting angle. At the second step, a model of technical vision system (computer vision system) in the modified descriptive images algebra and a fitness function for the genetic algorithm are developed. Then varying parameters of the model are chosen and their optimization is carried out in MATLAB. The article demonstrates development of the model due to its complexity by additional imaging techniques. Experimentally it was found that the evolution of the model improves optimization results.

Keywords

measurement of an aircraft area; objective function; genetic algorithm; modified descriptive images algebra; combinatorial evaluation of a space; space of image states.

References

1. Bartalev S.A., Galeev A.A., Efremov V.Y., Zlatopolsky A.A., Lupyan E.A., Mazurov A.A., Proshin A.A., Flitman E.V., Scherbenko E.V. [More Precise Automatic Burnt Out Forest Places Space Detection Using HRV, HRVIR Data]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa [Current problems in remote sensing of the Earth from space], 2009, no. 6, pp. 335-342. (in Russian)
2. Potapov A.A., Gulyaev Yu.V., Nikitov S.A., Pakhomov A.A., German V.A. Noveyshie metody obrabotki izobrazheniy [The Latest Image Processing Techniques]. Moscow, FIZMATLIT, 2008. 496 p.
3. Iskhakov A.R., Malikov R.F. Modelling of Technical Vision Systems in the Modified Descriptive Image Algebra. Ufa, Publisher BSPU, 2015. (in Russian)
4. Burakov M.V. Genetic Algorithm: Theory and Practice. St. Petersburg, SUAE, 2008. (in Russian)
5. Iskhakov A.R. [Parametric Synthesis of Technical Vision Systems in the Modified Descriptive Image Algebras]. Research Science City, 2015, vol. 12, no. 2, pp. 24-31. (in Russian)
6. Iskhakov A.R. Mathematical Methods of Modeling of Image Processing and Analysis in the Modified Descriptive Algebras of Images. Journal of Computational and Engineering Mathematics, 2016, vol. 3, no. 1, pp. 3-9.