Automatic target recognition during sensor motion and vibration

Ofer Hadar; A. Kuntsevitsky; M. Wasserblat; Norman S. Kopeika; Stanley R. Rotman

doi:10.1117/12.181029

29 July 1994 Automatic target recognition during sensor motion and vibration

Ofer Hadar, A. Kuntsevitsky, M. Wasserblat, Norman S. Kopeika, Stanley R. Rotman

Proceedings Volume 2234, Automatic Object Recognition IV; (1994) https://doi.org/10.1117/12.181029
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

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Ofer Hadar, A. Kuntsevitsky, M. Wasserblat, Norman S. Kopeika, and Stanley R. Rotman "Automatic target recognition during sensor motion and vibration", Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); https://doi.org/10.1117/12.181029

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KEYWORDS

Modulation transfer functions

Target detection

Field effect transistors

Image processing

Automatic target recognition

Image segmentation

Analytical research

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