Journal of Astronautics ›› 2020, Vol. 41 ›› Issue (8): 1049-1057.doi: 10.3873/j.issn.1000-1328.2020.08.008

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Linear Array Lidar Imaging Mechanism and 3D Reconstruction for Space Instable Targets

LI Rong hua, XUE Hao peng, YANG You qing, LI Heng   

  1. 1. School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China
    2. Shanghai Academy of Spaceflight Technology, Shanghai 201109, China
  • Received:2019-11-04 Revised:2020-03-21 Online:2020-08-15 Published:2020-08-25

Abstract: Using the advantages of linear array lidar with small load and strong anti-interference ability, the dynamic measurement technology of space instable targets is studied. Firstly, the imaging mechanism of linear array lidar is explored. Linear array lidar’s resident observation scanning mechanism for space instable targets is implemented. A space instable target motion model is established, and a target measurable region extraction mechanism based on the Double-slice method is proposed. Then, using the ICP (Iterative closest point) registration results as the prior information, a reverse order reconstruction scheme is proposed. Next, the accuracy of the reconstructed point cloud and the average density evaluation mechanism are established. The influence of data redundancy on reconstruction accuracy is analyzed. To improve the accuracy of the reconstruction results, the method of sampling and dimensionality reduction to perform the registration reconstruction calculations is adopted. Finally, the simulation experiment is performed to verify the analysis. The experimental results show that the data extraction of the measurable parts of the space target is reasonable and accurate, and the data output frequency is 1 Hz. The reconstruction results meet the task index requirements. The average density of the reconstructed point cloud is 19 mm. The accuracy of the reconstructed point cloud is 90 mm. The research provides data support and reference for ground verification and on-orbit applications.

Key words: Space instable target, Lidar imaging mechanism, Double-slice method, Data redundancy, Reconstruction evaluation

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