Nonparametric method for stochastic textures detection on remotely sensed images

Nail K. Bakirov

doi:10.1117/12.564906

18 May 2004 Nonparametric method for stochastic textures detection on remotely sensed images

Nail K. Bakirov

Proceedings Volume 5485, Optical Technologies for Communications; (2004) https://doi.org/10.1117/12.564906
Event: Optical Technologies for Communications, 2003, Ufa, Russian Federation

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 apriori 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 (stochastic textures) 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 two-dimensional postanalysis of statistics are developed. Computer simulations with satellite images are also provided.

Citation Download Citation

Nail K. Bakirov "Nonparametric method for stochastic textures detection on remotely sensed images", Proc. SPIE 5485, Optical Technologies for Communications, (18 May 2004); https://doi.org/10.1117/12.564906

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