Abstract: Aiming at the ISAR imaging problem of three-axis stabilized space target, a two dimensional high resolution ISAR imaging method was proposed based on sparse characteristics and orbit model. Firstly, a phase-stable wave shape dictionary was developed with target orbital data to realize high range resolution and motion compensation. Then, considering the translational motion and attitude stabilization of target running on orbit, the effective accumulation angle of three-axis stabilized space target was calculated with target rotation vector analysis. According to the sparse characteristics of high range resolution profile (HRRP), the cross-range matching dictionary size was decided effectively, and a dictionary structure was proposed to adapt to the migration through resolution cell (MTRC). The simulation results show that the sparse matching dictionary can correctly reflect the attitude change of space target, solve the MTRC problem of scatters, and significantly improve the two-dimensional resolution of the space target ISAR image.