Restoration of satellite images based on atmospheric MTF

Norman S. Kopeika, T. Sheayik, Zachi Givati, N. Corse, Itai Dror, Dan Sadot, Arnon Karnieli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


The recently developed atmospheric Wiener filter, which corrects for turbulence and aerosol blur and path radiance simultaneously, is implemented in digital restoration of AVHRR imagery over the five wavelength bands of the satellite instrumentation. Restoration is most impressive for higher optical depth situations, with improvement with regard to both smallness of size of resolvable detail and contrast. Turbulence modulation transfer function (MTF) is calculated from meteorological data. Aerosol MTF is calculated from optical path, measured with a sun-photometer. The product of the two yields atmospheric MTF which is implemented in the atmospheric Wiener filter. Image restorations with accompanying atmospheric MTF curves are presented. However, restoration results using a simple inverse MTF filter were quite similar. This indicates the satellite images were characterized by very low noise and that turbulence jitter was very limited which, in turn, indicates that the turbulence MTFs integrated upwards over the path length were small compared to aerosol MTFs.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Number of pages12
StatePublished - 1 Jan 1996
EventInfrared Spaceborne Remote Sensing IV - Denver, CO, USA
Duration: 6 Aug 19967 Aug 1996


ConferenceInfrared Spaceborne Remote Sensing IV
CityDenver, CO, USA

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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