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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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Title Research on seismic signals for vehicle targets and recognition by data fusion
Author(s) Lan, Jinhui
Nahavandi, Saeid
Zhang, Jingxin
Zheng, Hong
Lan, Tian
Conference name International Conference on Control and Automation (4th : 2003 : Montreal, Canada)
Conference location Montreal, Canada
Conference dates 10-12 June 2003
Title of proceedings Proceedings of The 4th International Conference on Control and Automation
Editor(s) [Unknown]
Publication date 2003
Conference series International Conference on Control and Automation
Start page 733
End page 736
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Summary 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.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 078037777X
9780780377776
Language eng
Field of Research 090699 Electrical and Electronic Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005253

Document type: Conference Paper
Collections: School of Engineering and Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.