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The number of automatically executed photogrammetrical processes is constantly growing in connection with the development of theory, methods, and technical means of image processing. Advisability of improving these processes is evident especially for those which are, by any indexes, at a disadvantage in relation to non-automatic processes. For example, productivity and precision of automatic stereo measurements are on par with non-automatic, but reliability of stereo measurements are lower. The considerable possibilities of improving the quality of automatic stereo measurements may be found in optimization of the stereo signals identification process: filtration of each stereo signal from noises, taking the information from the stereo image areas being identified, defining and removing the stereo signals discordance. Optimization of each of the processes may demand a special theory and method, not only for the process as a whole, but also for the constituting operations. For instance, while taking information, the following parameters should be optimized: trajectory and moving direction of scanning elements, shape and size of stereo images being identified, number of scanning elements per each part of the area being identified (dispersion of search expenses). Let us tell more about dispersion of search expenses. In existing stereo automats rasters are used, which provide uniform taking of information from image areas being identified, which is not judiciously in the case of its random dispersion, because it leads inevitably to declining of the identification quality. It is impossible to define a judicious strategy of the search beforehand, because of the absence of apriori data about the image areas being investigated. The method has developed, using the theory of random processes management, which optimizes search expenses. In the course of developing the method three rules are defined.
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