A New View of Multisensor Data Fusion: Research on Generalized Fusion

Multisensor data generalized fusion algorithm is a kind of symbolic computing model with multiple application objects based on sensor generalized integration. It is the theoretical basis of numerical fusion. This paper aims to comprehensively review the generalized fusion algorithms of multisensor data. Firstly, the development and definition of multisensor data fusion are analyzed and the definition of multisensor data generalized fusion is given. Secondly, the classification of multisensor data fusion is discussed, and the generalized integration structure of multisensor and its data acquisition and representation are given, abandoning the research characteristics of object oriented. Then, the principle and architecture of multisensor data fusion are analyzed, and a generalized multisensor data fusion model is presented based on the JDL model. Finally, according to the multisensor data generalized fusion architecture, some related theories and methods are reviewed, and the tensor-based multisensor heterogeneous data generalized fusion algorithm is proposed, and the future work is prospected.

Automated summary

This paper comprehensively reviewed the generalized fusion algorithms of multisensor data, including its definition, classification, principles, and architecture. By proposing a generalized multisensor data fusion model based on the JDL model, and a tensor-based multisensor heterogeneous data generalized fusion algorithm, future research directions were also discussed.