Image analysis based on change point problem for random processes with the absence of a-priori data

Salavat T. Kussimov; Albert H. Sultanov; Nail K. Bakirov; Sergey V. Dyblenko

doi:10.1117/12.295628

22 December 1997 Image analysis based on change point problem for random processes with the absence of a-priori data

Salavat T. Kussimov, Albert H. Sultanov, Nail K. Bakirov, Sergey V. Dyblenko

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295628
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

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.

Citation Download Citation

Salavat T. Kussimov, Albert H. Sultanov, Nail K. Bakirov, and Sergey V. Dyblenko "Image analysis based on change point problem for random processes with the absence of a-priori data", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295628

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KEYWORDS

Image processing

Image analysis

Algorithm development

Computer simulations

Earth observing sensors

Mathematical modeling

Satellite imaging

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