Abstract

The object of this study is the process of making a management decision based on the analysis of information from space surveillance systems. Unlike the well-known ones, the method of making a management decision based on the analysis of information from space surveillance systems involves: – segmentation of an optoelectronic image; – determination and prediction of a priori probabilities of possible environmental states; – an application for making a management decision of a combination of Bayes criteria and a minimum of variance. Experimental studies have been carried out on making a management decision based on the analysis of information from space surveillance systems. To conduct experimental research on making a management decision based on the analysis of information from space surveillance systems, a model problem has been stated. As images from space surveillance systems, images obtained from the WorldView-2 spacecraft (USA) with a difference of four days were considered. The vegetation index was calculated, and the probabilities of degradation dynamics of plant segments were determined. It was established that the maximum value of the estimated functional is achieved when choosing a solution φ1, which is optimal according to the Bayesian criterion and the criterion of minimum variance. The quality of management decision-making was assessed by the well-known and developed methods. To assess the quality of management decision-making, the concepts of objectivity of the decision-making method and the selectivity of the decision-making method by known and developed method were introduced. It has been established that both methods are objective, and the improved method is more selective (the gain is 2.6 times). This becomes possible through the use of information from space surveillance systems.

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