Primitive-Based 3D Parameter Estimation Method for Spacecraft

Inverse Synthetic Aperture Radar (ISAR) images of spacecraft are composed of discrete scattering points and exhibit characteristics such as weak texture, uneven intensity, and discontinuity, making it difficult for conventional 3D parameter estimation methods to accurately estimate the structural and attitude parameters of spacecraft. Considering that spacecraft components possess distinct geometric semantics, this paper proposes a primitive-based 3D parameter estimation method for spacecraft. The method first models the primitive structure of the spacecraft, then reconstructs the point cloud via the energy accumulation method, and finally estimates the 3D parameters by fusing the 2D contour features of ISAR images with the 3D geometric features of the reconstructed point cloud. Compared with traditional methods, the proposed method can characterize the geometric morphology of spacecraft more comprehensively and obtain the structural and attitude parameters required for space target surveillance. Experimental results verify the effectiveness of the proposed method.