Abstract: In order to ensure the accuracy of imaging, it is necessary to eliminate the interferometric phases at the intersection of the micro-motion curves. In this paper, three-dimensional (3D) interferometric imaging of space spinning targets in low-resolution radar system was studied. At first, corners on time-frequency images were searched and classified by Harris corner detection and clustering algorithm, and the cross position of micro-motion curves were found accurately. Then, the interferometric phases at the intersecting regions was removed. Next, the effective interferometric phases of each scatterer were used to reconstruct the coordinates in the two baseline directions. Finally, according to the geometric relationship between the circular trajectory of the target in space and the elliptical trajectory in the plane consisting of the two baselines, the 3D interferometric imaging of the spinning target is realized. The simulation results verified the effectiveness of the proposed method.