Air traffic system modeling approach based on OO, image-moment & self-adaptive clustering

1) A data structure based on the object-oriented technique: realize the bottom layer reconstruction of decision-making metric, unify the criterion for the data representation of ATM DMS. 2) Image moment technique: propose a refinement method of reconstructing the object frame model of the metric, facilitating the level-differentiated management of decision-making information in automatic ATC system. 3) Cluster analysis method without supervision: automatically divide metric system into subsets. These subsets provide definite demonstration of relationships among various traffic patterns presented by metric system.