Neural network implementation of a principal component analysis tasks on board the unmanned aerial vehicle information processing in real time

The application of principal component analysis to simplify the classification of pixels of images obtained with the help of unmanned aerial vehicle for the organization received information processing in real time, and simplify the process of orientation of unmanned aerial vehicle on the ground. We consider the neural network of the principal component analysis. The results of experiments showing the effectiveness of such use of principal component analysis.