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Proceedings Paper

Nonparametric method for stochastic textures detection on remotely sensed images
Author(s): Nail K. Bakirov
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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 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.

Paper Details

Date Published: 18 May 2004
PDF: 12 pages
Proc. SPIE 5485, Optical Technologies for Communications, (18 May 2004); doi: 10.1117/12.564906
Show Author Affiliations
Nail K. Bakirov, Institute of Mathematics (Russia)

Published in SPIE Proceedings Vol. 5485:
Optical Technologies for Communications
Salavat T. Kussimov; Vladimir A. Andreev; Albert H. Sultanov; Vladimir A. Burdin, Editor(s)

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