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METHOD FOR TARGET OBJECT SELECTING BASED ON A LIMITED NUMBER OF MEASUREMENTS OF PHYSICALLY DISSIMILAR FEATURES

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The problem of choosing a target object from a set of objects in the observer's field of view by a limited number of measurements of dissimilar selective features, is considered. To solve the problem with a required probability for a various number of measurements of the individual features, a combined dimensionless feature is introduced. The proposed approach does not require accumulation of large volumes of measurement information and can be used to make decisions in the case of physical dissim-ilarity of the measured values.

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