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.
刘振 姜晖 王粒宾. 基于加权两向二维线性鉴别分析的SAR目标识别方法[J]. 计算机应用, 2013, 33(02): 534-538.
LIU Zhen JIANG Hui WANG Libin. SAR target recognition method based on weighted two-directional and two-dimensional linear discriminant analysis. Journal of Computer Applications, 2013, 33(02): 534-538.
2013, Vol. 33 
