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

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 proceeding › Conference contribution › peer-review

3 Scopus citations

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 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 language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	106-117
Number of pages	12
Volume	2817
DOIs	https://doi.org/10.1117/12.255175
State	Published - 1 Jan 1996
Event	Infrared Spaceborne Remote Sensing IV - Denver, CO, USA Duration: 6 Aug 1996 → 7 Aug 1996

Conference

Conference	Infrared Spaceborne Remote Sensing IV
City	Denver, CO, USA
Period	6/08/96 → 7/08/96

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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Cite this

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title = "Restoration of satellite images based on atmospheric MTF",

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 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.",

author = "Kopeika, {Norman S.} and T. Sheayik and Zachi Givati and N. Corse and Itai Dror and Dan Sadot and Arnon Karnieli",

year = "1996",

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T1 - Restoration of satellite images based on atmospheric MTF

AU - Kopeika, Norman S.

AU - Sheayik, T.

AU - Givati, Zachi

AU - Corse, N.

AU - Dror, Itai

AU - Sadot, Dan

AU - Karnieli, Arnon

PY - 1996/1/1

Y1 - 1996/1/1

N2 - 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.

AB - 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.

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BT - Proceedings of SPIE - The International Society for Optical Engineering

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ER -

Restoration of satellite images based on atmospheric MTF

Abstract

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