Restoration of satellite images based on atmospheric MTF

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

doi:10.1117/12.255175

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

Author Affiliations +

Proceedings Volume 2817, Infrared Spaceborne Remote Sensing IV; (1996) https://doi.org/10.1117/12.255175
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

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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