nahavandi-researchonseismic-2003.pdf (69.4 kB)
Research on seismic signals for vehicle targets and recognition by data fusion
conference contribution
posted on 2003-01-01, 00:00 authored by J Lan, Saeid Nahavandi, J Zhang, H Zheng, T LanThis 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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Title of proceedings
Proceedings of The 4th International Conference on Control and AutomationEvent
International Conference on Control and Automation (4th : 2003 : Montreal, Canada)Pagination
733 - 736Publisher
IEEE XploreLocation
Montreal, CanadaPlace of publication
Piscataway, N.J.Start date
2003-06-10End date
2003-06-12ISBN-13
9780780377776ISBN-10
078037777XLanguage
engNotes
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E1 Full written paper - refereedCopyright notice
2003, IEEEUsage metrics
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