Abstract:Some interrelations of two dimensional image entropy of optic and electronic devices are developed in this paper. The informativity of the object image is investigated through the use of multi spectral optic system, limited by aberations.
“…In order to find distant objects and to exactly define their characteristics, time is a factor with great significance. Such kind of research is current for the ecological sphere [2,3,4,5,7] and also for the demands of the defense [1,5,6].…”
The aim to practically use the results from the observations for discovery of distant objects in the visible and the infrared part of the optical specter means to seek a definite answer about a signal presence which would answer the question about the presence in the controlled space of the sought object. On research basis the signal presence probability can be defined which is described by means of a likelihood ratio. The initial value of the likelihood ratio does not contain any unknown values. It is defined on an experimental basis by using devices with concrete tactical and technical characteristics in a concrete environment by considering the fluctuations probability.
“…In order to find distant objects and to exactly define their characteristics, time is a factor with great significance. Such kind of research is current for the ecological sphere [2,3,4,5,7] and also for the demands of the defense [1,5,6].…”
The aim to practically use the results from the observations for discovery of distant objects in the visible and the infrared part of the optical specter means to seek a definite answer about a signal presence which would answer the question about the presence in the controlled space of the sought object. On research basis the signal presence probability can be defined which is described by means of a likelihood ratio. The initial value of the likelihood ratio does not contain any unknown values. It is defined on an experimental basis by using devices with concrete tactical and technical characteristics in a concrete environment by considering the fluctuations probability.
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