| HU Zhentao(胡振涛),SU Yujie,ZHANG Zihan.[J].高技术通讯(英文),2023,29(4):358~364 |
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| A novel adaptive temporal-spatial information fusion modelbased on Dempster-Shafer evidence theory |
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| DOI： |
| 中文关键词: |
| 英文关键词: temporal-spatial information fusion, evidence theory, Deng entropy, evidence distance,
credibility decay model |
| 基金项目: |
| Author Name | Affiliation | | HU Zhentao(胡振涛) | (School of Artificial Intelligence, Henan University, Zhengzhou 450046, P. R. China) | | SU Yujie | | | ZHANG Zihan | |
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| 中文摘要: |
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| 英文摘要: |
| 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. |
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