Using nonparametric statistic methods for identification of structural anomaly boundaries on optical images

Nail K. Bakirov; Valeriy K. Bagmanov; Anton E. Kisselev; Albert H. Sultanov; Olimjon Sh. Sharipov; Anatoly N. Startsev; Shakir K. Formanov

doi:10.1117/12.728486

10 April 2007 Using nonparametric statistic methods for identification of structural anomaly boundaries on optical images

Nail K. Bakirov, Valeriy K. Bagmanov, Anton E. Kisselev, Albert H. Sultanov, Olimjon Sh. Sharipov, Anatoly N. Startsev, Shakir K. Formanov

Author Affiliations +

Proceedings Volume 6605, Optical Technologies for Telecommunications 2006; 66050D (2007) https://doi.org/10.1117/12.728486
Event: Optical Technologies for Telecommunications 2006, 2006, Samara, Russian Federation

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.

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Nail K. Bakirov, Valeriy K. Bagmanov, Anton E. Kisselev, Albert H. Sultanov, Olimjon Sh. Sharipov, Anatoly N. Startsev, and Shakir K. Formanov "Using nonparametric statistic methods for identification of structural anomaly boundaries on optical images", Proc. SPIE 6605, Optical Technologies for Telecommunications 2006, 66050D (10 April 2007); https://doi.org/10.1117/12.728486

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