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The paper presents digital image objects detection and recognition system using artificial neural networks and drones. It contains description based on example of person identification system where face is the key object of processing. It describes the structure of the system and components of the learning sub-system as well as the processing sub-system (detection, recognition). It consists of a description...
A common function of Electronic Support Measures (ESM) system is a threat detection in the electromagnetic environment and the area surveillance so as to determine the identity of surrounding emitters. The paper presents the application of neural networks as a new way to cluster and classify radar signals in the reconnaissance systems. The basic concepts of this technique are described. The efficiency...
Electronic Intelligence (ELINT) is the result of observing the signals transmitted by radars to obtain information about their capabilities and applications. The paper describes the role of specific radar parameters, mainly the different types of inter-pulse modulation and in which way they may be applied in the electronic intelligence system. A few examples of measured signals parameters belonging...
Electronic Support Measure (ESM) systems have been used to passively detect electromagnetic emission from airborne, shipborne, and landborne platforms. The paper describes a method of an automatic radar target recognition based on following principal stages: digital signal processing, feature extraction and selection and applying a combination of decision tree, minimum distance classifier and knowledge...
In this paper the clustering methods with different similarity measures were used to classifying the intercepted signals generated by electromagnetic sources to one of the previously identified L classes in N-dimensional feature space. The quality of these methods performing technical objects recognition was examined by using the computer simulated date.
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