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Proceedings Paper

Prediction Of Effects Of Weather On Image Quality Propagated Through The Atmosphere
Author(s): N S Kopeika; I Kogan; R Yisraeli; I Dinstein
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Paper Abstract

Using atmospheric modulation transfer function area (MTFA) as a single-valued numerical criterion for image quality propagated through the atmosphere horizontally near the ground, a statistical study of atmospheric imaging data accumulated over a three year period has led to the determination of regression ceofficients with which to quantitatively predict image quality as a function of wavelength, over the 400 - 1000 nm wavelength region, according to weather forecast. Utilization of this procedure is quite simple. One simply plugs in expected values for windspeed, air temperature, and relative humidity in the regression coefficient expression for MTFA. The larger the expected MTFA, the better the expected image quality. Two sets of regression coefficient data have been obtained, one each for desert and non-desert climates, corresponding to summer and winter data here. Preliminary experimentation over a different line-of-sight indicates the accuracy of the prediction is fairly reliable for the summer or desert model.

Paper Details

Date Published: 10 August 1988
PDF: 5 pages
Proc. SPIE 0926, Optical, Infrared, Millimeter Wave Propagation Engineering, (10 August 1988); doi: 10.1117/12.945775
Show Author Affiliations
N S Kopeika, University of the Negev (Israel)
I Kogan, University of the Negev (Israel)
R Yisraeli, University of the Negev (Israel)
I Dinstein, University of the Negev (Israel)

Published in SPIE Proceedings Vol. 0926:
Optical, Infrared, Millimeter Wave Propagation Engineering
Norman S. Kopeika; Walter B. Miller, Editor(s)

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