A Synthetic Aperture Radar (SAR) target recognition method in multi-view SAR images is proposed in consideration of both independency and correlation.Due to the azimuth sensitivity of SAR images, the correlations among the multi-view SAR images for recognition are not stable enough.Therefore, the multi-view SAR images are first clustered into several sets based on image correlation.Images in each set share relatively high correlations.Afterwards, Joint Sparse Representation (JSR) is employed to jointly reconstruct the multi-view SAR images in each view set and produces the reconstruction errors with high precision.Finally, the linear weighting strategy is used to fuse the reconstruction errors from different view sets to determine the target label.Experiment tests are carried out on the MSTAR dataset.The results prove the effectiveness of the proposed method.