Automatic Recognition Of Boundary Convergent Lines Based On Doppler Radar

Boundary convergent lines have strong ability to predict weather storms, which are shown as some winding, possibly to have the branch road and looming belt-shaped regions with uncertain width and change value in the Doppler radar images.This paper makes improvements to the algorithm including "detection window" and deepen "impression", and identifies potential features of the boundary convergent lines and casts statistical analysis, applies the above algorithm to the complex the irregular belt-shaped region and achieves satisfactory results. This paper has mainly completed the following two tasks:First, improves the algorithm of identifying boundary convergent lines and extracts skeleton of region of boundary convergent lines. This paper studies the principle of the algorithm including "detection window" and deepen "impression", summarizes problem identification methodology, based on large size of sample survey modifies related threshold value and parameters, and gets skeleton of boundary convergent lines through specification.Second, applies sectional drawing theory to analyze and summarize water and steam distribution characteristics within and near region of boundary convergent lines; uses wind field speed on both sides of skeleton of boundary convergent lines to extract information, analyze characteristics of boundary convergent lines convergence and movements as well as the relationship between these characteristics and potential stormy weather and provide related conclusions.In sum, it has developed a new method for boundary convergent lines identification and storm prediction, realized related algorithms and its coding, and achieved strong robustness during sample tests and other satisfactory testing results.