Theoretical informational estimation of spatial signal restoration accuracy

Sergey V. Shultz; Peter Alexseevich Bakut; Yurij Petrovich Shumilov

doi:10.1117/12.197383

21 December 1994 Theoretical informational estimation of spatial signal restoration accuracy

Sergey V. Shultz, Peter Alexseevich Bakut, Yurij Petrovich Shumilov

Proceedings Volume 2312, Optics in Atmospheric Propagation and Random Phenomena; (1994) https://doi.org/10.1117/12.197383
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

In the article the relationship between the accuracy of random spatial signal restoration and information quantity about signal, that is inherent in the random observing function, is considered on the base of information and statistical decision theory notions. It is shown that in special case of statistically homogeneous strong correlated signal in the observing area the obtained lower bound of signal restoration error dispersion is analogous to the lower bound defined with Cramer-Rao inequality which is widely used in statistical estimation theory for analysing of the discrete parameters potential accu- racy. The obtained results are used for accuracy analysis of satellite information systems which are employed in the optical wavelength region. The image restoration accuracy is considered in dependence of the influence of small particles ejected from satellite and the quantum noise being, the result of irradiance-photodetector substance interaction.

Citation Download Citation

Sergey V. Shultz, Peter Alexseevich Bakut, and Yurij Petrovich Shumilov "Theoretical informational estimation of spatial signal restoration accuracy", Proc. SPIE 2312, Optics in Atmospheric Propagation and Random Phenomena, (21 December 1994); https://doi.org/10.1117/12.197383

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