Ground Control Points(GCPs)which include radar imagery,optic imagery and so on are used to rectify satellite imagery precisely,because orbit ephemeris and sensor parameters are often unavailable in practical application. In this paper,different kinds of precision rectification algorithms are introduced first,then a comprehensive comparison of several algorithms is carried out from the viewpoints of GCP number,the algorithm complexity,the applicability and so on,and in the end RadarSat and QuickBirdⅡ images are applied to test the accuracy of different precision rectification algorithms and the relationship between the accuracy and the number of GCPs. Experimental results show that the higher accuracy can be achieved with more GCPs,but the accuracy improve slowly when the number of GCPs increase to a certain extent. The accuracy of 3^rd rational function model is the best for optic imagery. The rigor geometric model based on affine transform is a good algorithm for optic imagery with few GCPs. The direct linear transformation model,the self-calibration direct linear transformation model and the extensive direct linear transformation model can be used for commercial optic imagery and reach a high accuracy. For radar imagery,the accuracy of the Range-Doppler model is stable and the model achieves high accuracy with few GCPs.