A novel adaptive temporal-spatial information fusion model based on Dempster-Shafer evidence theory

In the field of target recognition based on the temporal-spatial information fusion, evidence theory has received extensive attention. To achieve accurate and efficient target recognition by the evidence theory, an adaptive temporal-spatial information fusion model is proposed. Firstly, an adaptive evaluation correction mechanism is constructed by the evidence distance and Deng entropy, which realizes the credibility discrimination and adaptive correction of the spatial evidence. Secondly, the credibility decay operator is introduced to obtain the dynamic credibility of temporal evidence.Finally, the sequential combination of temporal-spatial evidences is achieved by Shafer’ s discount criterion and Dempster’ s combination rule. The simulation results show that the proposed method not only considers the dynamic and sequential characteristics of the temporal-spatial evidences combination,but also has a strong conflict information processing capability, which provides a new reference for the field of temporal-spatial information fusion.