Description: The ability to solve reconnaissance tasks using data obtained from UAVs depends upon the characteristics of the aircraft itself and the characteristics of the onboard surveying equipment. The variety of UAVs from the point of view of their purpose, operational capabilities, characteristics of the onboard surveying equipment, cost, etc. made it difficult to solve the problem of their comparative assessment and selection of optimal samples. The goal of the article is to determine the factors that influence the ability to solve the problem in full, and to formulate the decision-making criteria on the most efficient type of UAV and its payload for survey in the battlefield. To determine the criteria for selection of UAV type and payload at solving the task of surveying, the dependence of the characteristics of the obtained data on the parameters of the surveying equipment and sensing conditions was analyzed. As a result, the following selection criteria were defined: the sizes of CCD-array and CCD-element, focal length, viewing angle, radiometric and spectral sensitivity and frequency of taking photos for survey equipment and positioning accuracy at the moment of photography, speed, altitude and flight time of the UAV, its maneuverability, possibility of onboard survey equipment location. The method for selection of the type and composition of unmanned aerial vehicles payload was developed on the basis of the method of additive convolution of criteria. It involves determination of the coefficients of relative importance of each of the selection criteria and their normalization, that is, bringing the criteria to a single (dimensionless) scale. On the basis of the importance of the criteria and their quantitative evaluation, the aggregate values of the decisions variants are determined as the sum of the products of the estimates obtained over the agreed quantitative scales and the coefficients of the relative importance (weights) of each of the criteria. The best variant is selected on the basis of the integral evaluation of each component of the system.
Keywords: unmanned aerial vehicle, spatial coordinates of the object, characteristics of survey equipment, reconnaissance tasks, multicriteria optimization.
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