Algorithms of semantic operational transmission of marine images
Unmanned vehicles, drones and autonomous cars have been widely used in everyday life thanks to recent advances in robotics and artificial intelligence. Monitoring of water areas and the development of remote sensing technologies have led to an urgent need to solve the problem of detecting and tracking ships in order to ensure control and safety. Recently, learning strategies related to the field of machine learning have become a niche of interest for remote sensing specialists, in particular, the rapid transmission of video information in order to increase situational awareness of interested services in ensuring control and security in real time is a serious problem. At the same time, the most important requirement for the transmission of marine scenes is to preserve the semantics of images □ spatial objects and the relationship between them without switching to the spectral region of the signal. In this paper, new algorithms for structuring visual data based on the selection of key points of image objects are considered. The development of system-on-a-chip technology made it possible to move from theoretical modeling to the implementation of fast pyramidal-recursive algorithms for processing video information. Modeling of transmission algorithms and evaluation of quality indicators of video image transmission systems are performed.