AIR OBJECT DETECTION BY MEANS OF THE PASSIVE SINGLE-POSITION OPTICAL-ELECTRONIC COMPLEX IN THE OPTICAL RANGE
The task of air object image detection and localization at the general data frame generated on the photo-receiving matrix of the passive single-position air reconnaissance complex in the optical wave range is examined. A comparative study of object image detection methods is given and application of the DetectNet-type convolution neural nets for the above specified objects is justified. Practical results of DetectNet-type convolution nets application for detection and localization of air object images with the passive single-position optoelectronic complex are described.