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Target Recognition Based on CBR in Optoelectronic Hybrid System
Yao, Guangle; Wu, Qinzhang; Zhong, Jiandan; Sun, Kelin
Volume126
Pages1210-1213
2015
Language英语
ISSN1951-6851
DOI10.2991/icismme-15.2015.258
Indexed BySCI
Subtype会议论文
AbstractOptoelectronic 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.; 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.
Conference NamePROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015)
Conference Date2015
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7550
Collection光电测控技术研究室(三室)
Recommended Citation
GB/T 7714
Yao, Guangle,Wu, Qinzhang,Zhong, Jiandan,et al. Target Recognition Based on CBR in Optoelectronic Hybrid System[C],2015:1210-1213.
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