The data fusion method based on gray correlation and evidence theory

Multisensor data fusion is widely used in many fields, such as environmental monitoring and assessment, space remote sensing, target recognition and so on. In this paper, based on the evidence theory and gray correlation algorithm, a new multisensor data fusion method is provided. Firstly, the Basic Probability Assignment Function (BPAF) of evidence theory is built by the gray correlation algorithm, and then a fusion algorithm based on evidence theory is provided. Finally, a decision-making method based on the basic probability number is used for the final decision. Theory analysis and simulation experiment indicate that this method is valid and feasible in the application of data fusion.