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Formation of a classification map of the underlying surface from images of a coherent locator

O.N. Skrypnik1, B.V. Lezhankin1, A.N. Malov1, B.M. Mironov1, S.F. Galliev1
1Irkutsk Higher Military Aviation Engineering School (Military Institute) 


Pages: 151-159.

Abstract:
Single-line, combined single-line and two-line algorithms for the formation of a classification map of the underlying surface were developed on the basis of the model of a system with a random, jump structure,  and the said algorithms were studied by computer simulation method. The effectiveness of the algorithms, including the algorithms of selection of the boundaries of areas with different types of underlying surface, was evaluated by the value of the state recognition error when processing real images of coherent locators.

Keywords:
coherent locator, computer simulation method, underlying surface, recognition error

Citation:
Skrypnik ON, Lezhankin BV, Malov AN, Mironov BM, Galliev SF. Formation of a classification map of the underlying surface from images of a coherent locator. Computer Optics 2006; 29: 151-159.

Acknowledgements:
This work was supported by the Russian Foundation for Basic Research, RFBR grant No. 06-08-00596-a.

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