Research on seismic signals for vehicle targets and recognition by data fusion
Lan, Jinhui, Nahavandi, Saeid, Zhang, Jingxin, Zheng, Hong and Lan, Tian 2003, Research on seismic signals for vehicle targets and recognition by data fusion, in Proceedings of The 4th International Conference on Control and Automation, IEEE Xplore, Piscataway, N.J., pp. 733-736.
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Proceedings of The 4th International Conference on Control and Automation
Place of publication
This paper researches seismic signals of typical vehicle targets in order to extract features and to recognize vehicle targets. As a data fusion method, the technique of artificial neural networks combined with genetic algorithm(ANNCGA) is applied for recognition of seismic signals that belong to different kinds of vehicle targets. The technique of ANNCGA and its architecture have been presented. The algorithm had been used for classification and recognition of seismic signals of vehicle targets in the outdoor environment. Through experiments, it can be proven that seismic properties of target acquired are correct, ANNCGA data fusion method is effective to solve the problem of target recognition.
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Field of Research
090699 Electrical and Electronic Engineering not elsewhere classified
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