Geodesic
Forming of representative set of attribute vectors for training recognition system of aircrafts types by method for simulating of distributions of scattering coefficients of their surfaces
Matematičeskoe modelirovanie, Tome 16 (2004) no. 4, pp. 80-88

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An article is set forth a method for forming representative set of attributes for training a recognition system of types of aircrafts on the range images to be registered in an optical wavelength band. The results of simulation of attribute vector sets obtained by solving the task of multivariate optimization of scattering coefficients on finite element models of surfaces of aircrafts, as well as the results of statistical tests of neuronet recognition systems are given. 
@article{MM_2004_16_4_a8,
     author = {E. V. Buryi and Yu. L. Smirnova},
     title = {Forming of representative set of attribute vectors for training recognition system of aircrafts types by method for simulating of distributions of scattering coefficients of their surfaces},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {80--88},
     publisher = {mathdoc},
     volume = {16},
     number = {4},
     year = {2004},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2004_16_4_a8/}
}
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E. V. Buryi; Yu. L. Smirnova. Forming of representative set of attribute vectors for training recognition system of aircrafts types by method for simulating of distributions of scattering coefficients of their surfaces. Matematičeskoe modelirovanie, Tome 16 (2004) no. 4, pp. 80-88. http://geodesic.mathdoc.fr/item/MM_2004_16_4_a8/