Radar target recognition using canonical transformation to extract features

Benyong Liu; Wanlin Yang

doi:10.1117/12.323677

25 September 1998 Radar target recognition using canonical transformation to extract features

Benyong Liu, Wanlin Yang

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323677
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Benyong Liu and Wanlin Yang "Radar target recognition using canonical transformation to extract features", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323677

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