Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

The Features Vector Research on Target Recognition of Airplane

Authors
Shuangzi Sun1, Lihong Yuan, Yong Yang, Xiaochao Chen
1Changchun University of Science and Technology
Corresponding Author
Shuangzi Sun
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.31How to use a DOI?
Keywords
Target Recognition; Features Vector; Geometric Features; Support Vector Machine (SVM)
Abstract

The selection of the features vector is crucial, taking direct effect on the accuracy of target recognition. Considering that the airplane has smooth surface and regular geometric shape, this paper chooses the geometric shape feature to describe the target of airplane. These geometric features vector include the center point, the characteristics of size and shape, the ration of airframe-length to wingspan etc. Finally, this paper applies Support Vector Machine to validate the effectiveness of geometric features vector. From the result of experiment, it can be concluded that these features vector can satisfy the requirement of target recognition.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.31How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shuangzi Sun
AU  - Lihong Yuan
AU  - Yong Yang
AU  - Xiaochao Chen
PY  - 2008/12
DA  - 2008/12
TI  - The Features Vector Research on Target Recognition of Airplane
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 177
EP  - 181
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.31
DO  - https://doi.org/10.2991/jcis.2008.31
ID  - Sun2008/12
ER  -