Deterministic-Probabilistic image model in technologies of aerospace monitoring
Valery V. Vasilevskiy · AIP conference proceedings · 2023
The problem of increasing the effectiveness of aerospace monitoring and automatic processing of video data is analysed. For evaluating the informative features of image it has been suggested to use deterministic-probabilistic model, which ensures allocating and recognizing the image data (clusters) under observation based on calculations, firstly, of image's evaluating functionality through variation of function and, secondly, of momentary and cumulant (invariant) functions. Usage of a two-level model of image for evaluation of informative features, provides the possibility of implementing a stream processing of video data and recognizing the observable image data in real-time mode and in conditions of minimum level of prior awareness about signal and jamming environment. Article describes the computing algorithm of video data processing in challenges of aerospace monitoring and recognizing the objects of the earth surface.