Paper
21 October 1996 Restoration of satellite images based on atmospheric MTF
Norman S. Kopeika, T. Sheayik, Zachi Givati, N. Corse, Itai Dror, Dan Sadot, Arnon Karnieli
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Abstract
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 depth, measured with a sun-photometer. The product of the two yields atmospheric MiT 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 twbulencc MTFs integrated upwards over the path length were small compared to aerosol MTFs.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Norman S. Kopeika, T. Sheayik, Zachi Givati, N. Corse, Itai Dror, Dan Sadot, and Arnon Karnieli "Restoration of satellite images based on atmospheric MTF", Proc. SPIE 2817, Infrared Spaceborne Remote Sensing IV, (21 October 1996); https://doi.org/10.1117/12.255175
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KEYWORDS
Modulation transfer functions

Atmospheric particles

Aerosols

Turbulence

Atmospheric modeling

Silicon

Satellites

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