Target Recognition Based on CBR in Optoelectronic Hybrid System

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.