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Journal of Projectiles, Rockets, Missiles and Guidance >

2022 , Vol. 42 >Issue 5: 20 - 26

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2022.05.005

A Fast Anti-rotation Scene Matching Algorithm Based on Covariance Matrix

  • FU Yanjun 1 ,
  • SUN Kaifeng 2 ,
  • LIU Junlan 1
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  • 1 College of Engineering, Xi’an International University, Xi’an 710077, China
  • 2 Xi’an Precision Machinery Research Institute, Xi’an 710077, China

Received date: 2021-11-17

  Online published: 2025-01-16

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Abstract

Aiming at the real-time and robust requirements of UAV scene matching navigation system, an improved matching algorithm is proposed based on the minimum eigenvalue of covariance matrix. In terms of real-time performance, by pre-establishing the summation matrix based on the reference image in offline mode, the online calculation of covariance matrix is reduced by about 50% in the matching process. In the aspect of anti-rotation, the fast circle window positioning algorithm based on virtual circle index is used for the reference sub image, which can resist the real-time image with 5°~10° rotation. The simulation results show that the proposed method not only improves the real-time performance and anti-rotation, but also has certain robustness to the noise interference, small range occlusion and small scale transform of the actual image.

Key words： scene matching; covariance matrix; minimum eigenvalue; real-time; anti-rotation

Cite this article

FU Yanjun , SUN Kaifeng , LIU Junlan . A Fast Anti-rotation Scene Matching Algorithm Based on Covariance Matrix[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(5) : 20 -26 . DOI: 10.15892/j.cnki.djzdxb.2022.05.005

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