Point Cloud 3D Reconstruction of Non-cooperative Object Based on Multi-satellite Collaborations

The 3D reconstruction of non-cooperative space objects is critical to the smooth execution of space operations. Given the limited efficiency and vulnerability to interference, while performing 3D reconstruction with a single spacecraft, we present a multi-viewpoint cloud 3D reconstruction approach based on multi-spacecraft observation. Aligning the sequential point cloud under each perspective first, increasing the overlap between views to ensure multi-view alignment stability. The local model under each view is then subjected to model analysis to identify the sailplane and fit its parameters. Finally, the joint multi-view alignment is corrected based on the normal to address the issue of ambiguity caused by the near-symmetric characteristics of space objects. Simulation and actual data are used to assess the method's efficacy and accuracy. Compared with existing methods, the proposed method is more suitable for non-cooperative space objects.