The super-resolution reconstruction algorithm is applied to synthetic aperture radar (SAR) target recognition. The parameters of SAR images are estimated based on the attributed scattering center model for high-resolution reconstruction, thus generating the multiresolution representations of the original images. The joint sparse representation is employed to represent the original image together with its high-resolution representations, thus considering their inner correlations. Finally, the target label is determined based on the total reconstruction errors. The experimental results on the MSTAR dataset confirm the validity of the proposed method.