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Abstract. In the process of space target surveillance system to obtain the target image in space, due to the impact of imaging equipment is limited and some other random factors, Therefore, the final image is blurred and distorted, so it is difficult to estimate and track the target in the later stage. In this paper, based on the geometric correction technique of space target images, Put forward through the study of spatial transformation, gray interpolation and unknown variation algorithm to construct a mapping model,In the image preprocessing part, the distorted image is corrected, To obtain more accurate target centroid coordinates and clearer target images, the high accuracy of the space target surveillance system is achieved.