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Proceedings Paper

Turbulence strength estimation and super-resolution from an arbitrary set of atmospherically degraded images
Author(s): Steve Zamek; Yitzhak Yitzhaky
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Paper Abstract

In remote sensing, atmospheric turbulence and aerosols limit the image quality. For many practical cases turbulence is shown to be dominant, especially for horizontal close-to-earth imaging in hot environments. In a horizontal long-range imaging it is usually impractical to measure path-averaged refractive index structure constant Cn2 (which characterizes the turbulence strength) with conventional equipment. In this paper we propose a method for estimation of Cn2 based just on the available recorded turbulence-degraded image sequence. The method exploits the turbulence-induced image "dancing". Cn2 is extracted from the estimated image shifts variance. Experimental comparison with Cn2 measurements using a scintillometer shows reliable estimation results. We also estimate image motion with sub-pixel accuracy for the purpose of obtaining a high-resolution image by applying a simple super-resolution procedure. Results of super-resolution for real imagery are presented.

Paper Details

Date Published: 1 September 2006
PDF: 11 pages
Proc. SPIE 6303, Atmospheric Optical Modeling, Measurement, and Simulation II, 630303 (1 September 2006); doi: 10.1117/12.680407
Show Author Affiliations
Steve Zamek, Ben Gurion Univ. (Israel)
Yitzhak Yitzhaky, Ben Gurion Univ. (Israel)

Published in SPIE Proceedings Vol. 6303:
Atmospheric Optical Modeling, Measurement, and Simulation II
Stephen M. Hammel; Anton Kohnle, Editor(s)

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