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Norman S. Kopeika

Researcher at Ben-Gurion University of the Negev

Publications -  371
Citations -  5452

Norman S. Kopeika is an academic researcher from Ben-Gurion University of the Negev. The author has contributed to research in topics: Image restoration & Optical transfer function. The author has an hindex of 36, co-authored 371 publications receiving 5221 citations. Previous affiliations of Norman S. Kopeika include Ariel University & University of Pennsylvania.

Papers
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Proceedings ArticleDOI

Target acquisition probabilities for image motion and vibration

TL;DR: In this article, the effect of low frequency mechanical vibrations in the image plane on thermal imaging target acquisition is considered and a model is described that takes as input the mechanical vibration data such as amplitude and frequency and the physical characteristics of the target.
Journal ArticleDOI

Influence of severe vibrations on the visual perception of video sequences

TL;DR: It is found that the threshold contrast needed to recognize a target in a vibrating video sequence under certain conditions is more affected by the motion blur of each frame than the oscillation of the line-of-sight.
Proceedings ArticleDOI

Low-cost plasma terahertz heterodyne image detection

TL;DR: In this article, an experimental result of 300GHz detection by a single commercial neon indicator lamp plasma glow discharge detectors (GDD) was presented, where the GDD detector is transparent, so that it is possible to receive radiation from both sides, at 0 and 180 degree.
Proceedings ArticleDOI

Free-space optical communication satellite networks-vibration effects and possible solutions

TL;DR: In this paper, the authors reviewed the performance results of vibration effects on different kinds of optical communication satellite networks and proposed seven approaches to overcome the problems caused by transmitter pointing vibration caused by two stochastic fundamental mechanisms: tracking noise created by the electrooptic tracker and vibrations created by internal and external mechanical mechanisms.
Proceedings ArticleDOI

Prediction of coarse aerosol statistics according to weather forecast

TL;DR: In this paper, an effort to quantify effects of weather on coarse aerosol concentration and total cross-sectional area per unit volume, so as to permit their prediction according to weather forecast, has begun.