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Proceedings Paper

Using nonparametric statistic methods for identification of structural anomaly boundaries on optical images
Author(s): Nail K. Bakirov; Valeriy K. Bagmanov; Anton E. Kisselev; Albert H. Sultanov; Olimjon Sh. Sharipov; Anatoly N. Startsev; Shakir K. Formanov
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Paper Abstract

The images analysis method for detecting anomaly and its boundary, based on nonparametric criterion for detection of change point of random fields and postanalysis of statistics, is proposed. The objects to be detected on the images of earth's surface or ocean in a possible mathematical model are represented as relatively large homogeneous adjacent subareas (stochastic textures) with rather smooth boundaries. Properties of nonparametric statistical methods for identification of structural anomaly boundaries on optical images in multivariate change point problem are investigated.

Paper Details

Date Published: 10 April 2007
PDF: 8 pages
Proc. SPIE 6605, Optical Technologies for Telecommunications 2006, 66050D (10 April 2007); doi: 10.1117/12.728486
Show Author Affiliations
Nail K. Bakirov, Ufa State Aviation Technical Univ. (Russia)
Valeriy K. Bagmanov, Ufa State Aviation Technical Univ. (Russia)
Anton E. Kisselev, Ufa State Aviation Technical Univ. (Russia)
Albert H. Sultanov, Ufa State Aviation Technical Univ. (Russia)
Olimjon Sh. Sharipov, Institute of Mathematics (Uzbekistan)
Anatoly N. Startsev, Institute of Mathematics (Uzbekistan)
Shakir K. Formanov, Institute of Mathematics (Uzbekistan)


Published in SPIE Proceedings Vol. 6605:
Optical Technologies for Telecommunications 2006

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