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Proceedings Paper

Statistical models of coherent fields scattered by moving objects and their use for object parameter determination
Author(s): Valery I. Mandrosov
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Paper Abstract

A detailed analysis of coherent fields scattered by moving objects is provided. It includes systematic investigation of statistical characteristics of speckle structures in these fields and in object coherent images and development of coherent images processing using the statistical decision theory. It enables development of various remote methods determining the object parameters and object recognition even in the presence of noticeable noises and even when parts of object surface are not resolved by conventional systems. In addition, it enables estimating the accuracy of various coherent field methods of information acquisition and processing, notably holographical and speckle interferometrical methods. Dependence of the contrast and the correlation radius of the speckle structure of the coherent images on the imaging system resolving power by non-Gaussian statistics of coherent fields is investigated. This is dictated in these images when the imaging system is high resolution. Methods using this dependence for the determination of the mean square deviation and the correlation radius of the surface roughness heights prove effective.

Paper Details

Date Published: 3 September 1993
PDF: 10 pages
Proc. SPIE 1978, Coherent Measuring and Data Processing Methods and Devices, (3 September 1993); doi: 10.1117/12.155032
Show Author Affiliations
Valery I. Mandrosov, Institute of Control Sciences (Russia)

Published in SPIE Proceedings Vol. 1978:
Coherent Measuring and Data Processing Methods and Devices
Valery I. Mandrosov, Editor(s)

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