The object of this research is the process of segmentation of camouflaged military equipment in images from space surveillance systems. The method of segmentation of camouflaged military equipment in images from space surveillance systems has been improved using a genetic algorithm. Unlike known methods, the method of segmentation of camouflaged military equipment using a genetic algorithm involves the following: – highlighting brightness channels in the Red-Green-Blue color space; – the use of a genetic algorithm in the image in each channel of brightness of the RGB color space; – image segmentation is reduced to the formation of generations and populations of chromosomes, the calculation of the objective function, selection, crossing, mutation, and decoding of chromosomes in each brightness channel of the Red-Green-Blue color space. Experimental studies were conducted on the segmentation of camouflaged military equipment using a genetic algorithm. It is established that the improved method of segmentation using a genetic algorithm makes it possible to segment images from space surveillance systems. A comparison of the quality of segmentation was carried out. It is established that the improved method of segmentation using a genetic algorithm reduces segmentation errors in the following way: – compared to the known k-means method, by an average of 15 % of errors of the first kind and an average of 7 % of errors of the second kind; – compared to the method of segmentation based on the algorithm of swarm of particles, by an average of 3.8 % of errors of the first kind and an average of 2.9 % of errors of the second kind. The improved segmentation method using a genetic algorithm can be implemented in software and hardware imaging systems from space surveillance systems

Satellite navigation technologies are widely used around the world. Existing systems are constantly being upgraded, new satellites are being launched, satellite signals are being improved, military signals that are more resistant to interference are being gated in, ground-based navigation systems are being deployed, and the characteristics of GNSS user equipment are being improved. The effectiveness of GNSS user equipment is influenced by many different factors - from its internal circuit to the signal transmission medium where it is used. Testing of GNSS equipment consists in characterization of system performance and ensuring that manufacturer quality standards are met and expectations of the end user are satisfied. The solution of problems related to the testing of GNSS user equipment is the use of such equipment as simulators, GNSS signal recording and reproduction equipment, broad spectrum signal generation equipment, software for testing GNSS user equipment in laboratory conditions. The abovementioned equipment makes it possible to fully automate the test process by repeatedly performing user-defined scenarios. The use of signal generators for GNSS simulation has advantages over the use of a live GNSS signal. When using live signals the test conditions change constantly and unpredictably, therefore it is unlikely that two identical sequential tests will be performed under the same conditions. Retest is the most important requirement for the test process. The article deals with methods improvement and proposes the choice for rational equipment composition for GNSS user testing equipment.