Application of fuzzy evidence theory in a photo-electric measurement system
文献类型：会议论文
| 作者 | Song Jianxun; Xiong Maotao; Zhang Jin; Wu Qinzhanga |
| 出版日期 | 2009 |
| 会议名称 | Proceedings of SPIE |
| 会议日期 | 2009 |
| 卷号 | 7383 |
| 通讯作者 | Song Jianxun |
| 中文摘要 | The photo-electric measurement system is a kind of high-precision measurement system for trajectory parameters and object identity parameters, and it can acquire the image information of flying objects by CCD camera. Due to subject to some kinds of reasons, the feature information of image is not integrated and imprecise, and it has uncertainty and fuzzy in some degree. The Dempster-Shafer evidence theory is an important approach of uncertainty reasoning. With evidences fused, the uncertainty of the feature information of the object is declined gradually by Dempster combination rule, so it can achieve the aim of object detection and object recognition. The conception of fuzzy mass is expanded in the way of the relation of absolute membership on the basis of normal mass conception. The fuzzy theory is very suitable for the description and processing of uncertainty to evidences in D-S evidence theory, so the Basic Probability Assignment Function (BPAF) of D-S evidence theory can be acquired according to fuzzy theory, and it resolves crucial problem in D-S evidence theory. It is shown that data fusion method of fuzzy evidence theory can deal with uncertainty and the fuzzy of photo-electric measurement system according to the analysis of theory and the result of experimentation, and it has a bright future in photo-electric measurement systems. |
| 英文摘要 | The photo-electric measurement system is a kind of high-precision measurement system for trajectory parameters and object identity parameters, and it can acquire the image information of flying objects by CCD camera. Due to subject to some kinds of reasons, the feature information of image is not integrated and imprecise, and it has uncertainty and fuzzy in some degree. The Dempster-Shafer evidence theory is an important approach of uncertainty reasoning. With evidences fused, the uncertainty of the feature information of the object is declined gradually by Dempster combination rule, so it can achieve the aim of object detection and object recognition. The conception of fuzzy mass is expanded in the way of the relation of absolute membership on the basis of normal mass conception. The fuzzy theory is very suitable for the description and processing of uncertainty to evidences in D-S evidence theory, so the Basic Probability Assignment Function (BPAF) of D-S evidence theory can be acquired according to fuzzy theory, and it resolves crucial problem in D-S evidence theory. It is shown that data fusion method of fuzzy evidence theory can deal with uncertainty and the fuzzy of photo-electric measurement system according to the analysis of theory and the result of experimentation, and it has a bright future in photo-electric measurement systems. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/7507]  |
| 专题 | 光电技术研究所_光电探测技术研究室（三室） |
| 作者单位 | 中国科学院光电技术研究所 |
| 推荐引用方式 GB/T 7714 | Song Jianxun,Xiong Maotao,Zhang Jin,et al. Application of fuzzy evidence theory in a photo-electric measurement system[C]. 见:Proceedings of SPIE. 2009. |
入库方式： OAI收割
来源：光电技术研究所
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