METHOD OF OBTAINING AND PROCESSING IMAGES DISTORTED BY A TURBULENT ATMOSPHERE Russian patent published in 2019 - IPC G01S17/88 G02B27/46 B64G1/64 

FIELD: instrument engineering.

SUBSTANCE: invention relates to optical instrument-making. Method of obtaining and processing images distorted by a turbulent atmosphere includes recording a long-exposure image averaged by atmospheric distortions, observed through a turbulent atmosphere, Fourier transform into the spatial spectrum region, spatial spectrum filtering, and restoration of the object sharp image enhanced by filtration during Fourier inverse transformation of the filtered spatial spectrum. At that, long-exposure image of the probed area of the earth's surface is recorded onboard the spacecraft Earth remote sensing (ERS) and is subjected to adaptive spatial filtration, for which the filtering function of the inverse spatial filter is formed in the form of () = , where is the average wavelength of the illuminated solar radiation [mcm], F is the focal distance of the ERS telescope forming the image [m], =₁ – ₂F is a space-frequency vector in telescope aperture plane [cycle / mm] or [lp/mm], (, H) – adaptively changed during filtration spatial correlation radius of atmospheric fluctuations of light radiation at height H [km] of ERS spacecraft [m], K is the number of iteration of adaptive search of the global maximum of the filtered image S^K sharpness function, and iteratively changes the value of the spatial radius of correlation of atmospheric fluctuations of light radiation – (, H), starting from its maximum value, determined by empirical formula where L is the height of the turbulent atmosphere layer above the earth's surface [m], is the value of the spatial radius of correlation of atmospheric fluctuations on the boundary of the turbulent layer [m]. Spatial spectrum of the long-exposure image is filtered by the first iteration of the filtering function ¹(), and during the inverse Fourier transform, the first iteration of the adaptively filtered long-exposure image is restored. To organize subsequent steps of the iterative adaptive filtering process, forming an image sharpness function in the form where Ωi is the image region, Ωs is the spatial spectrum region, is the spatial spectrum estimate for the adaptively filtered image evaluation. Maximizing function by decreasing in expression for filtering function ^K() and subsequent repetition of iterative steps of adaptive filtration, completing process of adaptive filtration when S^K sharpness reaches global maximum.

EFFECT: technical result consists in providing spatial ERS filtration.

1 cl, 5 dwg