Name
Abstract | ||
|---|---|---|
Air target identification is an important issue in threat warning, airline security and surveillance. To obtain accuracy and reliability, the multisensor is used to give multiple sources information. Thus, an algorithm to fuse the information from the multisensor is needed. The (Dempster-Shafer) evidence theory is a generalization of Bayesian statistics. Evidential reasoning is suited to a range of decision-making activities. But it is invalid when dealing with conflicting probabilities. In this paper, a new weighted D-S combination rule is proposed to solve the conflicting management in the air target identification system. In the weighted method presented here, it is to modify evidences rather than to modify the combination rule. The rationality and effectiveness of the weighted method are evaluated by the target identification system. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-71618-1_60 | ICANNGA (1) |
Keywords | Field | DocType |
air target identification system,multisensor data fusion,combination rule,conflicting probability,evidential reasoning,weighted method,target identification system,target identification,bayesian statistic,conflicting management,multiple sources information,new weighted d-s combination,air target identification,dempster shafer,bayesian statistics | Data mining,Rationality,Computer science,Identification system,Sensor fusion,Artificial intelligence,Bayesian statistics,Fuse (electrical),Evidential reasoning approach,Machine learning | Conference |
Volume | ISSN | Citations |
4431 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Wang | 1 | 4 | 1.79 |
| Yunxiao Wang | 2 | 1 | 1.73 |
| Xiao Yu | 3 | 1 | 0.38 |
| Zhengxuan Wang | 4 | 47 | 13.93 |
| Yunjie Pang | 5 | 18 | 5.61 |