Prediction of image quality through the atmosphere as a function of Weather Forecast

N. S. Kopeika, I. Kogan, R. Israeli, I. Dinstein

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Using atmospheric modulation contrast function area (mcfa) as a single-valued numerical criterion for image quality propagated through the atmosphere, a statistical study of atmospheric imaging data has led to the determination of regression coefficients with which to quantitatively predict at visible and near infrared wavelengths effects of windspeed, air temperature, and relative humidity on image quality propagated through the atmosphere as functions of wavelength and of spatial frequency. 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 mcfa. The larger the expected mcfa, the better the expected image quality. Models are presented for desert and non-desert atmospheres. Preliminary experimentation indicates the accuracy of the models is quite good and that the quality of image propagation through the atmosphere can be described as a simple function of some basic meteorological dependences previously unknown. These fundamental meteorolgical parameters are part of weather forecasts measured world-wide, are simple and inexpensive to measure and can be used to determine also overall atmospheric modulation contrast function as a function of spatial frequency and meteorological conditions. An important advantage of this new approach is its simplicity as well as accuracy.

Original languageEnglish
Pages (from-to)266-277
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1115
DOIs
StatePublished - 11 Oct 1989

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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