Share Email Print

Optical Engineering

Automatic target recognition during sensor motion and vibration
Author(s): Ofer Hadar; A. Kuntsevitsky; M. Wasserblat; Norman S. Kopeika; Stanley R. Rotman
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The resolution capability of imaging systems is affected by blur resulting from vibration and motion during the exposure. This blur is often more severe than electronic and optical resolution limitations inherent in the system. Such image quality degradation must be considered when dealing with the development and analysis of automatic target recognition (ATR) systems. This research analyzes the influence of image vibrations and motion on the probability of acquiring a target with an ATR system. The analysis includes accepted metrics 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 permitting efficient performance in the prediction and evaluation of any ATR system. Such correlations are considered here in the presence of sensor motion and vibration and situations are considered in which the probability of recognition is improved by the motion, despite the blur. 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: 1 October 1995
PDF: 7 pages
Opt. Eng. 34(10) doi: 10.1117/12.210733
Published in: Optical Engineering Volume 34, Issue 10
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)

© SPIE. Terms of Use
Back to Top