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.
Original language | English |
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Pages (from-to) | 180-184 |
Number of pages | 5 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 926 |
DOIs | |
State | Published - 10 Aug 1988 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering