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Research on Intelligent Collaborative Perception of Space Non-cooperative Targets Based on AOCS Platform

  • Hang Du,
  • Haixia Hu,
  • Haibo Zhang

摘要

This article provides a detailed introduction to the space non-cooperative targets intelligent collaborative perception module, whose main function is to improve the system’s understanding of the target and task environment through recognition, judgment, learning, and other processes, based on the target model containing multidimensional information obtained from target reconstruction, as well as data resources such as target model characteristic test data and target feature digital volume library. Module includes a space target feature dataset, a space target intelligent cooperative perception algorithm interaction environment, space target model feature clustering and recognition software, space target model matching and situation association software, space target position and attitude measurement software, and a parallel computing module. The dataset is used to train the space target model feature clustering and recognition software to obtain the model parameters of the recognition algorithm, which is used for the recognition of space target identity information and local feature information; the space target model matching and situation association software further associates the recognition information of the local features of the space target.