Abstract
The opportunities of diagnosing wind roughness with the help of underwater vision systems have been investigated. The model of the rough sea surface image observed from under water under conditions of natural illumination has been developed. It has been shown that the statistical processing of the image of a solar path which is formed as a result of light refraction at randomly irregular air-water interface allows one to define not only the slope variance and the curvature variance of the surface, but also the coefficient of spatial correlation of slopes. The algorithms for defining of characteristics of wind roughness on the basis of images of underwater solar path and the results of their testing using the data of numerical and natural experiments are given. It was found that waves of very small amplitude images with high contrast near borders of the Snell’s circle (the underwater image of the sky).
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