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- W2348118927 abstract "To solve the Small Sample Size(SSS) problem and the inferior problem of traditional Fisher Linear Discriminant Analysis(FLDA) when it is applied to Synthetic Aperture Radar(SAR) image recognition tasks,a new image feature extraction technique was proposed based on weighted two-directional and two-dimensional linear discriminant analysis(W(2D)2LDA).First,the scatter matrices in the two-directional and two-dimensional linear discriminant analysis criterion were modified by adding weights.Then,feature matrix was extracted by W(2D)2LDA.The experimental results with MSTAR dataset verify the effectiveness of the proposed method,and it can strengthen the feature's discrimination and obtain better recognition performance with fewer memory requirements simultaneously." @default.
- W2348118927 created "2016-06-24" @default.
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- W2348118927 date "2013-01-01" @default.
- W2348118927 modified "2023-09-24" @default.
- W2348118927 title "SAR target recognition method based on weighted two-directional and two-dimensional linear discriminant analysis" @default.
- W2348118927 hasPublicationYear "2013" @default.
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