GNSS World of China

Volume 48 Issue 6
Dec.  2023
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WANG Kedong, ZHOU Junjie. A fast terrain matching algorithm based on 3D Zernike moment[J]. GNSS World of China, 2023, 48(6): 58-66. doi: 10.12265/j.gnss.2023130
Citation: WANG Kedong, ZHOU Junjie. A fast terrain matching algorithm based on 3D Zernike moment[J]. GNSS World of China, 2023, 48(6): 58-66. doi: 10.12265/j.gnss.2023130
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A fast terrain matching algorithm based on 3D Zernike moment

doi: 10.12265/j.gnss.2023130

  • School of Astronautics, Beihang University, Beijing 100191, China

  • Received Date: 2023-07-04
  • Accepted Date: 2023-07-04
    • Available Online: 2023-12-07
    Abstract
  • In view of the current terrain matching algorithm based on 3D Zernike moment, which is computationally heavy and has poor real-time performance, this paper proposes a fast calculation method of 3D Zernike moment for terrain matching and a matching method that only uses odd-order descriptors to form feature vectors. The forming of method is based on the analysis of the computational process of 3D Zernike moments and the performance of odd-order descriptors. The simulation results show that the fast algorithm proposed in this paper can not only significantly reduce the amount of computation, but also improve the matching accuracy.

     

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    • References(7)
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