Abstract
The semantic technology in the surveillance radars is considered when detecting and recognizing a hardly noticeable and slow-moving air object. This technology is based on the methods of artificial intelligence, which is based on the semantic analysis of radar information by forming space-time images using the algebra of finite predicates. Such an approach makes it possible to implement the technology of detecting hardly visible objects in real time when compressing radar information while preserving its completeness and speed of semantic analysis. As a result, the probability of detecting hardly noticeable objects increases from 0.2 to 0.8, which is equivalent to a twofold increase in the radar visibility range.
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