Multi-dimensional heterogeneous information fusion identification method based on Copula theory

[0111] Such as figure 1 As shown, a multi-dimensional heterogeneous information fusion recognition method based on Copula theory is proposed. This method is based on the space-time registration of sensor observation data, and constructs an innovative abstract mathematical space that can incorporate different types of heterogeneous information—full-dimensional signal space, and realize the unified representation of the heterogeneous data of the three sensors (radar, infrared, visible light).

[0112] First, the heterogeneous information registration part.

[0113] The space-time registration of sensor observation data in "different time and space" mainly includes two aspects:

[0114] (1) Spatial registration based on the transformation equation of the earth coordinate system and the sensor coordinate system;

[0115] When performing spatial registration, the earth coordinate system and the sensor coordinate system are mainly considered.

[0116] 1) Geodetic coordinate system

[0293] Example: The test target is a 1:40 all-metal scale model of ship A and ship B (the length of the ship is 4 meters and 3 meters respectively), and the actual data of the target is collected by using three sensors: infrared, visible light and millimeter wave radar. It validates the abstract mathematical space construction technology that can incorporate different types of heterogeneous information;

[0294] (1) Take all the real experimental data of the two ships as sample data for identification calculation, and the identification results are as follows:

[0295] Table 3 Identification results of real experimental data

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[0297] (2) We will randomly generate 10,000 sets of data from the Copula joint distribution F1 and F2 as sample data for identification and calculation. The identification results are as follows:

[0298] Table 4 Generating sample data recognition results

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[0300] The above results show that the combined feature detection method ba