A Ship Radar Matching Method Based on Target Attributes and Point Pair Topological Characteristic

Abstract

We introduce a new ship target association method called SRM-AT, which stands for a Ship Radar Matching Method Based on Target Attributes and Point Pair Topological Characteristics. Using the radar properties of electromagnetic signals, as well as the longitude and latitude coordinates of electromagnetic signals and remote sensing images, this method calculates the point pair properties probability and PPTC (Point Pair Topological Characteristic) probability of electromagnetic signals and remote sensing images, as well as the syntheses of BPAF (Basic Probability Assignment Function) of the two through D-S evidence theory, to update the probability matrix of target association between electromagnetic signals and remote sensing images by using probability relaxation labelling method iteratively. The main contributions of this paper are: firstly, using decision trees to classify electromagnetic signals; finally, at the same time applicable to electromagnetic signals and remote sensing image ship formation and non-ship formation form. Through comparative experiments, this paper verifies that the method in this paper is superior to the comparative method in terms of association accuracy.