Abstract: To meet the demand for component-labeled inverse synthetic aperture radar (ISAR) images in the interpretation of space target ISAR images, a simulation method for component-labeled ISAR imaging of space target is proposed. First, the target surface elements are triangulated using the Delaunay triangulation algorithm. Then, the orbital motion parameters of the space target are obtained by the SGP4 orbital propagation model, and the visible arc segment is calculated by combining the radar observation geometry. Subsequently, the radar cross section (RCS) of the visible surface elements of the space target is calculated, and the target echo is simulated and component-labeled. Finally, simulation experiments on component labeling are conducted using the three-dimensional model and orbital data of Tiangong-1 (TG-1). The simulation results demonstrate that this method achieves high calculation accuracy for the orbital motion of space targets, and the generated component-labeled ISAR images can accurately reflect the distribution of target components. This method can automatically generate component-labeled ISAR images, avoiding the problems of low efficiency and large errors in manual labeling. It provides accurate data support for the interpretation of ISAR images based on component labeling and has important engineering application value for space target recognition and structural analysis.