The invention relates to a multi-dimensional heterogeneous information fusion identification method based on a Copula theory, and belongs to the technical field of information fusion. The method comprises the following steps: carrying out spatial registration based on a geodetic coordinate system and a sensor coordinate system transformation equation; after space registration is completed, completing time registration of interpolation and extrapolation, curve fitting and data interpolation; constructing a full-dimensional signal space; in a full-dimensional signal space which can be incorporated into different heterogeneous information, using a Copula function to establish connection of edge distribution of each single-dimensional data, recovering correlativity among feature data of each dimension, and inverting high-dimensional combination features of a target. According to the combined feature detection method based on Copula combined distribution, the combined recognition accuracy of the target is higher than that of a single feature detection method under each edge distribution, and the advantages of combined detection are embodied.