Evidence fusion procedure based on hybrid DSm model

Dezert-Smarandache（DSm） theory, a new information fusion theory, is widely applied in image processing, multiple targets tracking identification, and other areas for its excellent processing ability of imperfect information. However, earlier research on DSm theory mainly focused on one sort of quest...

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Bibliographic Details
Published in:Journal of systems engineering and electronics 2014-12, Vol.25 (6), p.959-967
Main Authors: Li, Hongfei, Jin, Hongbin, Tian, Kangsheng
Format: Article
Language:English
Subjects:
Correlation analysis
DSM模型
Image processing
Multiple target tracking
Systems engineering
信息融合
信息过程
图像处理
混合
证据
跟踪识别
输出信息
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Summary:Dezert-Smarandache（DSm） theory, a new information fusion theory, is widely applied in image processing, multiple targets tracking identification, and other areas for its excellent processing ability of imperfect information. However, earlier research on DSm theory mainly focused on one sort of questions. An evidence fusion procedure is proposed based on the hybrid DSm model to compensate for a lack of research on the entire information procedure of DSm theory. This paper analyzes the evidence fusion procedure, as well as correlative node input and output information. Key steps and detailed procedures of evidence fusion are also discussed. Finally, an experiment illustrates the efficiency of the proposed evidence fusion procedure.
ISSN:1004-4132
1004-4132
DOI:10.1109/JSEE.2014.00110