ПРОВЕРКА ПРАВИЛЬНОСТИ ПРИНЯТИЯ РЕШЕНИЙ БЕСПИЛОТНЫХ ЛЕТАТЕЛЬНЫХ АППАРАТОВ ПРИ РАСПОЗНОВАНИИ ОБЪЕКТОВ

This paper proposes a solution to the problem of optimizing the processing of incoming information from a UAV for object recognition in the absence of the necessary amount of initial information. The proposed private methods of object recognition can be easily implemented on computer equipment, which are located both on board the UAV and at a ground station. These methods make it possible to promptly receive an answer to the correctness of the decisions made regarding the object being explored. In the practical construction of recognition systems that are used in UAVs, it is necessary to use large amounts of data on the signs of objects. The construction of logical systems of recognition of objects containing a large number of classes and features, and the evaluation of their effectiveness is associated with considerable difficulties. The most significant indicator of the effectiveness of the recognition system is the probability of the correct solution of problems of recognition of unknown objects. With other things being equal, in particular, under conditions of optimal processing of a posteriori information, the value of this indicator is the higher, the greater the amount of incoming information is used in the recognition of this object. Moreover, under certain restrictions imposed by the signs used in recognition, the probability of a unique solution to the recognition problem increases and increases. The implementation of priorities in the field of creation and use of UAVs should be based on the use of high-tech achievements and world experience in the use of UAVs, taking into account the state of development of the national research and production base and the realization of the accumulated scientific, technical and technological potential of Ukraine in the information, aviation, space, telecommunications and related areas, the availability of appropriate infrastructure in Ukraine, and also taking into account the real economic, geopolitical and military requirements and capabilities. [ABSTRACT FROM AUTHOR]