With the development of laser technology, laser imaging radar gradually possesses vast application in complicated battlefield of modern warfare. At present automatic target recognition technology for laser imaging radar is a hot problem at home and abroad. Target recognition algorithm based on combination moments for laser imaging radar is put forward. Combination moments feature including lower-order Zernike moments, Hu moments and central moments is extracted from range image of laser imaging radar target, this feature is not sensitive to range image noise. Radial base function (RBF) neural network is used to recognize three kinds of ground targets. Experimental result shows that comparing this algorithm with using Zernike moments and Hu moments feature to recognize targets, the average recognition rate of three kinds of ground targets of laser imaging radar is raised by 1.0% and 3.7% separately under high carrier-to-noise ratio (CNR) (20 dB); the average recognition rate is raised by 11.8% and 42.5% separately under low CNR (10 dB); when CNR is higher than 17 dB, the average recognition rate of this algorithm is 100%. Therefore this algorithm gains good recognition effect.