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Proceedings Paper

Automatic target recognition during sensor motion and vibration
Author(s): Ofer Hadar; A. Kuntsevitsky; M. Wasserblat; Norman S. Kopeika; Stanley R. Rotman
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Paper Abstract

The resolution capability of imaging systems is effected by a blurring effect due to the vibration and motion recorded in the image. This disturbance is often more severe than electronic and optical limitations inherent in the system. This fact must be considered when dealing with the development and analysis of automatic target recognition (ATR) systems for military applications. The aim of this research is to analyze the influence of image vibrations and motion upon the probability of acquiring the target with an ATR system. The analysis includes factors that characterize the relationship existing between the target and its background. A high level of correlation is expected between these factors and the probability of target detection, enabling efficient performance in the prediction and evaluation of any ATR system. The results of this research can be implemented in military applications as well as in developing image restoration procedures for image-blur conditions.

Paper Details

Date Published: 29 July 1994
PDF: 11 pages
Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); doi: 10.1117/12.181029
Show Author Affiliations
Ofer Hadar, Ben-Gurion Univ. of the Negev (Israel)
A. Kuntsevitsky, Ben-Gurion Univ. of the Negev (Israel)
M. Wasserblat, Ben-Gurion Univ. of the Negev (Israel)
Norman S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 2234:
Automatic Object Recognition IV
Firooz A. Sadjadi, Editor(s)

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