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Proceedings Paper

Image analysis based on change point problem for random processes with the absence of a-priori data
Author(s): Salavat T. Kussimov; Albert H. Sultanov; Nail K. Bakirov; Sergey V. Dyblenko
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Paper Abstract

This paper describes the images analysis method, based on a new nonparametric criterion for detection of change point of random fields and postanalysis of statistics. Peculiarity of the method is that it does not require a priori data on statistical properties of the textures. 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 with rather smooth boundaries. The analysis of such images can be made by successive methods for detection of change point and here the basis for detection of objects and their boundaries on the image is the difference of statistical properties of the object's textures. Algorithms for 2D postanalysis of statistics are developed. Computer simulations with satellite images are also provided.

Paper Details

Date Published: 22 December 1997
PDF: 12 pages
Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295628
Show Author Affiliations
Salavat T. Kussimov, Ufa State Aviation Technical Univ. (Russia)
Albert H. Sultanov, Ufa State Aviation Technical Univ. (Russia)
Nail K. Bakirov, Ufa State Aviation Technical Univ. (Russia)
Sergey V. Dyblenko, Ufa State Aviation Technical Univ. (Russia)


Published in SPIE Proceedings Vol. 3217:
Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing
Jacky Desachy; Shahram Tajbakhsh, Editor(s)

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