Method of neural network recognition of ground-based air objects

Present article describes the method, which allows to define a type of air vehicle in automatic mode during the processing of optoelectronic scouting images. The method is based on neural network technology of images recognition with processing of a prior received data by the network itself. This makes possible to increase the probability of correct recognition, as well as to take into account potential errors of exact parameters.