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Turbulence strength estimation from an arbitrary set of atmospherically degraded images

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Abstract

In remote sensing, atmospheric turbulence and aerosols usually 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 calculate path-averaged refractive index structure constant Cn2 (which characterizes the turbulence strength) with conventional equipment. We propose a method for estimating Cn2 from the available atmospherically degraded video sequence by calculating temporal intensity fluctuations in spatially high variance areas. Experimental comparison with Cn2 measurements using a scintillometer shows reliable estimation results.

© 2006 Optical Society of America

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