Inverse synthetic aperture radar(ISAR) imaging is an important means of achieving space target tracking, imaging, and identification. However, space targets' high\|speed rotating motion characteristics make the traditional ISAR imaging algorithm ineffective. Based on this, an ISAR imaging method is proposed based on Range Cell Migration Compensate(RCMC).Firstly, the echo model of the high\|speed rotating target in space is established, and then, the range cell migration compensate is made by the reference signals constructed according to the echo characteristics to realize the spatial parameter estimation of the target scattering point.Finally, the Particle Swarm Optimization(PSO) algorithm is introduced to achieve the fast parameter search. The simulation results show that the target parameters can be extracted effectively by the algorithm,realizing the high\|quality imaging in space targets. The robustness of the algorithm is verified by comparison with the traditional imaging algorithms.