The invention discloses a multi-target
information fusion method based on RID and photoelectricity, and relates to the technical field of low-altitude security supervision, and the method comprises the steps: carrying out the preprocessing and projection of RID data, and obtaining a pixel coordinate and a two-dimensional
velocity vector; visual features are extracted from the photoelectric ball
machine image frame, and a visual target frame, a visual
velocity vector and
visual appearance features of the unmanned aerial vehicle are obtained; constructing a multi-dimensional association
cost matrix based on the data, wherein the
matrix element is the mismatching degree of a single RID
signal and a single visual target; performing
global optimal solution on the multi-dimensional association
cost matrix through a Hungary
algorithm to obtain an initial matching pair; and finally, performing threshold
verification and result output on the initial matching pair to finish accurate association of the RID identity and the visual target. According to the method, matching is realized by fusing multi-dimensional features, the problem of ID association error of single position matching is solved, the anti-interference performance and accuracy of target association in a dense unmanned aerial vehicle cluster scene are improved, and the effectiveness and continuity of low-altitude security supervision are guaranteed.