Spectral Method of Analysis and Complex Processing of Video Information from Multi-Zone Images

The problem of increasing the efficiency of monitoring of low-contrast objects under conditions of a priori uncertainty of the interference-signal environment based on the technology of complex multi-channel processing of spectrozonal information of multi-zone images obtained by receiving devices is investigated. The stochastic filtering solution is reduced to a simpler deterministic problem of estimating the a posteriori density of the observational data distribution based on the spectral method. We construct an image model based on the spectral characteristics of the random anomaly brightness field and the state vector, represented as a series by functions of the basis system. A description of the adaptive computational algorithm for the complex processing and analysis of the anomaly state of the image based on the approximate solution of the system of linear algebraic equations by the spectral method is given. #COMESYSO1120.