In order to exploit the correlation and complementarity between different feature data of synthetic aperture radar (SAR) target, a Tikhonov regularization kernel function collaborative representation algorithm based on multiple features is proposed. The SAR image database released by the moving and stationary target acquisition and recognition (MSTAR) program of the United States is used in the experiment. The multi-feature fusion collaborative representation and recognition on the kernel function transformation space is realized. Experimental results show that the proposed algorithm is more reliable and robust than the basic collaborative representation.