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Proceedings Paper

Control of statistical estimates accuracy under combined measurements
Author(s): Vladimir A. Shikhin; Galina P. Pavluk
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Paper Abstract

The objective of the paper is to present an effective method of combined statistical estimates for target parameter's estimation under Automatic Object Recognition. Introduced in the paper algorithm can be used in any applications dealing with different-accuracy measurements (possibly, optical or radar). Represented results prove that it is possible to use in calculating also the achieved low-accuracy data files. The proposed method of combined estimates gives final expression for calculating the unknown estimates, which are insensitive to considerably deviations in low-accuracy data files. Further the paper discusses the problems of estimate's accuracy controllability. In the case of estimate's accuracy restrictions are given the available win in the total number of needed measurements is analyzed. The experimental results are satisfactory and agree well with the reference solutions.

Paper Details

Date Published: 24 May 1996
PDF: 11 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241148
Show Author Affiliations
Vladimir A. Shikhin, Frederick Institute of Technology (Cyprus)
Galina P. Pavluk, Moscow Power Engineering Institute (Russia)

Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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