Paper
22 September 1997 Imaging through the atmosphere from satellites: restoration of images based on atmospheric MTF
Norman S. Kopeika, T. Sheayik, Zachi Givati, N. Corse, Itai Dror, Dan Sadot, Arnon Karnieli
Author Affiliations +
Proceedings Volume 3110, 10th Meeting on Optical Engineering in Israel; (1997) https://doi.org/10.1117/12.281357
Event: 10th Meeting on Optical Engineering in Israel, 1997, Jerusalem, Israel
Abstract
The recently developed atmospheric Wiener filter, which corrects for turbulence and aerosol blur and path radiance simultaneously, is implemented in digital restoration of AVHR imagery over the five wavelength bands of the satellite instrumentation. Restoration is most impressive for higher optical depth situations which cause more blur, with improvement in regard to both smallness of size of resolvable detail and contrast. Turbulence modulation transfer function (MTF) is calculated from meteorological data. Aerosol MTF is consistent with optical depth, measured with a sum-photometer. The product of the two yields atmospheric MTF which is implemented in the atmospheric Wiener filter. Turbulence blur, aerosol blur, and path radiance contrast loss are all corrected simultaneously, as if there were no intervening atmosphere. Image restorations with accompanying atmospheric MTF curves are presented. However, restoration results using a simple inverse atmospheric 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 wee not significant when compared to aerosol MTFs. Restorations are shown for various wavelength bands and are quite apparent even under clear weather conditions.
© (1997) 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 "Imaging through the atmosphere from satellites: restoration of images based on atmospheric MTF", Proc. SPIE 3110, 10th Meeting on Optical Engineering in Israel, (22 September 1997); https://doi.org/10.1117/12.281357
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KEYWORDS
Modulation transfer functions

Atmospheric particles

Aerosols

Turbulence

Atmospheric modeling

Filtering (signal processing)

Satellite imaging

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