Statistical synthesis of algorithms for the optimal processing of images which are spatially invariant with respect to atmospheric distortions

Details Statistical synthesis of algorithms for the optimal processing of images which are spatially invariant with respect to atmospheric distortions Statistical synthesis of algorithms for the optimal processing of images which are spatially invariant with respect to atmospheric distortions

Mar 1988

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1988rael...33..518b&link_type=abstract

Radiotekhnika i Elektronika (ISSN 0033-8494), vol. 33, March 1988, p. 518-524. In Russian.

Astronomy and Astrophysics

Astronomy

Atmospheric Correction, Atmospheric Effects, Image Processing, Statistical Analysis, Algorithms, Integral Equations, Maximum Likelihood Estimates, Optimization

Scientific paper

The paper examines a statistical model of the image of an extended object which is spatially invariant with respect to atmospheric distortions. This model along with the maximum likelihood method is used to synthesize algorithms for the optimal processing of short-exposure images. It is noted that the results obtained can be used in astronomical observations of the sun and planets as well as in connection with satellite observations of the earth surface.

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