Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (21): 278-286.DOI: 10.3778/j.issn.1002-8331.2006-0052

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Research on Aerial Image Matching Algorithm of Power Patrol UAS

MA Yaoming, CHEN Yilin, LI Wanyu   

  1. Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
  • Online:2021-11-01 Published:2021-11-04



  1. 辽宁工程技术大学 电气与控制工程学院,辽宁 葫芦岛 125105


Image matching algorithm based on local features is the most practical method in aerial image matching algorithm for power patrol UAV. An aerial image matching algorithm based on Gaussian curvature scale space is proposed to solve the problem that the traditional matching algorithm can cause the loss of image edge information or low efficiency. The first order scale space is constructed with the help of Gaussian curvature filter, then the feature points are extracted by FAST algorithm and the feature sampling region is selected. The second order scale space is established for the feature sampling region and the descriptors within LIOP second order scale space layer are extracted. Then the second order scale space pairwise LIOP descriptors are differentiated and binarized. Finally, the cumulative binarization is worth matching ASV-LIOP descriptors. On aerial images, algorithms such as SIFT, ORB, KAZE, AKAZE, and improved KAZE are used to compare with the proposed experiments. Experiments show that the accuracy of the proposed algorithm increases by 5% on average and the matching efficiency decreases by 50%.

Key words: power patrol UAV, Gaussian curvature scale space, ASV-LIOP descriptors



关键词: 电力巡线无人机, 高斯曲率尺度空间, ASV-LIOP描述符