Multi-source heterogeneous information association method based on discrete plots

Abstract

The invention relates to a multi-source heterogeneous information association method based on discrete plots, belongs to the technical field of information fusion, and solves the problems that, in the prior art, discrete points in dense targets are difficult to discriminate and association is missing. The method comprises the following steps: receiving multi-source heterogeneous information, identifying discrete plots in the multi-source heterogeneous information, storing the discrete plots in a historical library, and taking other information in the historical library as historical plots; based on identity information and proprietary information, obtaining associated data pairs of the discrete plots and the historical plots; establishing a plurality of similarity matrices for the remaining discrete plots and the remaining historical plots in the historical library based on time and dynamic information; according to a preset measurement threshold of each similarity matrix, converting the plurality of similarity matrices into a plurality of 0-1 measurement matrices; based on the 0-1 metric matrices, obtaining the associated data pairs of the remaining discrete plots and the remaining historical plots in the historical library; setting a same track number for each group of associated data pairs, and obtaining an associated result. Thus, the identification and association of discrete information in dense targets are realized.

Description

technical field [0001] The invention relates to the technical field of information fusion, in particular to a multi-source heterogeneous information association method based on discrete traces. Background technique [0002] As the types and numbers of sensors continue to increase, the types of information are increasingly abundant, and the requirements for real-time information fusion are also getting higher and higher. The problem of multi-source heterogeneous information association is one of the key technologies for information fusion. Without information association, there is no For target tracking, there is no efficient and reliable information association, let alone the correctness of target recognition. [0003] Multi-source heterogeneous information association is to combine observations or traces from multiple sensors with known or confirmed events, so that they belong to the event set respectively, that is, to ensure that the observations contained in each event se...

AI Technical Summary

Problems solved by technology

[0006] In view of the above analysis, the embodiment of the present invention aims to provide a multi-source heterogeneous information association method based on discrete point traces to solve the problems of difficult discrimination of discrete points and missing associations in existing dense objects.

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