IMAGE PARALLEL PROCESSING SUBSYSTEM FOR MONITORING FOREST LAND
This paper describes the parallel implementation of image processing algorithms in a subsystem for forest land monitoring based on remote sensing data. A multi agent approach is proposed to use for parallelization. The computational process is represented as a directed acyclic graph. Vertices of the graph correspond to the processing operations and the arcs define the order of operations. The graph is formed for each data type, then a generalized graph is constructed as a composition of the original graphs of specific scheme processing (scenarios). Such representation of computational process provides an opportunity to apply for the optimization calculations of the theory of graphs and network theory both for static (off-line scheduling) and for dynamic optimization (on-line scheduling). An integrated set of tools is proposed for the design of parallel algorithms and parallel computing, including visual editor, compiler, schedule optimization system and a system of parallel computing based on MPI.