Abstract The novel subspace method is proposed. Firstly, the input rangeprofiles are transformed into high dimension feature space by nonlinear transformation. Then the canonical subspace is constructed in the high dimension feature space to extract feature for improving performance of classification. Finally, the minimum distance classifier is used to classify aircraft targets. The experimental results on the real data of three kinds of aircrafts show the efficiency of the proposed method.
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2007, Vol. 20 
