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题名:
Target Recognition Based on CBR in Optoelectronic Hybrid System
作者: Yao, Guangle; Wu, Qinzhang; Zhong, Jiandan; Sun, Kelin
出版日期: 2015
会议名称: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015)
会议日期: 2015
DOI: 10.2991/icismme-15.2015.258
中文摘要: Optoelectronic hybrid system is widely used in military field and civilian field. Target recognition is one of the important functions of optoelectronic hybrid system. In order to improve the system's flexibility and intelligence, expert system is involved into optoelectronic hybrid system. This paper presents a model of target recognition based on CBR (case-based reasoning) expert system in optoelectronic hybrid system. And this paper processes an experiment about target recognition to recognize the vehicles. In this experiment, the KNN (K-nearest neighbors), a classical algorithm of CBR and one UCI data-set is employed. Results demonstrate that CBR expert system can be used to recognize the target in optoelectronic hybrid system, and the accuracy and efficiency can be improved by selecting features.
英文摘要: Optoelectronic hybrid system is widely used in military field and civilian field. Target recognition is one of the important functions of optoelectronic hybrid system. In order to improve the system's flexibility and intelligence, expert system is involved into optoelectronic hybrid system. This paper presents a model of target recognition based on CBR (case-based reasoning) expert system in optoelectronic hybrid system. And this paper processes an experiment about target recognition to recognize the vehicles. In this experiment, the KNN (K-nearest neighbors), a classical algorithm of CBR and one UCI data-set is employed. Results demonstrate that CBR expert system can be used to recognize the target in optoelectronic hybrid system, and the accuracy and efficiency can be improved by selecting features.
收录类别: SCI
语种: 英语
卷号: 126
ISSN号: 1951-6851
文章类型: 会议论文
页码: 1210-1213
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7550
Appears in Collections:光电探测技术研究室(三室)_会议论文

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Recommended Citation:
Yao, Guangle,Wu, Qinzhang,Zhong, Jiandan,et al. Target Recognition Based on CBR in Optoelectronic Hybrid System[C]. 见:PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015). 2015.
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