31 October 1997 Restoration of fragments of overcast video images with the use of a priori information
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In the solution of problems of ecological monitoring of the Earth's underlying surface, the multichannel satellite information is the main type of data obtained in real time that can be used to estimate the most important parameters of natural complexes. It is well known that interpretation of videoimages recorded under conditions of broken clouds involves problems when some regions of the Earth's surface are overcast by dense fog or cloud cells of high optical density. In this case, application of standard methods for image restoration based, for example, on the linear model describing the image transfer through dense scattering media in the form of the convolution functional of the sought-after image with the point spread function gives no way of obtaining results of any value. In this connection, we consider statistical methods for a solution of this problem.
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Vladimir V. Belov, Vladimir V. Belov, Konstantin T. Protasov, Konstantin T. Protasov, "Restoration of fragments of overcast video images with the use of a priori information", Proc. SPIE 3170, Image Reconstruction and Restoration II, (31 October 1997); doi: 10.1117/12.292821; https://doi.org/10.1117/12.292821


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