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Proceedings Paper

Radar target recognition using canonical transformation to extract features
Author(s): Benyong Liu; Wanlin Yang
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Paper Abstract

A novel approach for feature extraction of radar targets is proposed in this paper. This approach explores canonical analysis on a matrix formed by the range profiles (RPs) of training targets in different aspect angles. A subspace is obtained in this analysis. Projection of a RP into this subspace forms canonical profile (CP). The CPs of a training target in different aspect angles are averaged into feature vector for this target in data base. Using CP of an unknown target as the feature vector for recognition, experimental results on simulated data are presented.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323677
Show Author Affiliations
Benyong Liu, Univ. of Electronic Science and Technology (China)
Wanlin Yang, Univ. of Electronic Science and Technology (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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