This paper proposes a Synthetic Aperture Radar (SAR) target recognition method based on hierarchical decision fusion of complementary features. The Principal Component Analysis (PCA) feature, target peaks and contour are employed as basic features for target recognition, which are complementary with each other and can provide more comprehensive target descriptions.At the stage of decision fusionthe hierarchical decision fusion strategy is used. For target recognition, the first level employs the PCA feature, the second level uses the peaks, and the third level adopts the contour. When the former level recognizes the target with high reliability, the whole recognition process ends and no more classification is needed. Therefore, the efficiency of the SAR target recognition system is significantly improved by avoiding the unnecessary recognition process.To validate the effectiveness of the proposed method, experiments are conducted on public Moving and Stationary Target Acquisition and Recognition (MSTAR ) dataset.