• ISSN 0258-2724
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Volume 25 Issue 6
Dec.  2012
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Article Contents
Journal of Southwest Jiaotong University  > 2012  >  25(6): 955-961.
HE Jing, LI Yongshu, LI Xin, TANG Min. Registration Method for Unmanned Aerial Vehicle Images Based on Point Feature and Edge Feature[J]. Journal of Southwest Jiaotong University, 2012, 25(6): 955-961. doi: 10.3969/j.issn.0258-2724.2012.06.008
Citation: HE Jing, LI Yongshu, LI Xin, TANG Min. Registration Method for Unmanned Aerial Vehicle Images Based on Point Feature and Edge Feature[J]. Journal of Southwest Jiaotong University, 2012, 25(6): 955-961. doi: 10.3969/j.issn.0258-2724.2012.06.008
shu

Registration Method for Unmanned Aerial Vehicle Images Based on Point Feature and Edge Feature

doi: 10.3969/j.issn.0258-2724.2012.06.008
  • Received Date: 06 Apr 2012
  • Publish Date: 25 Dec 2012
    Abstract
  • To solve the problem of registration of unmanned aerial vehicle (UAV) images with a large distortion, an improved method based on the combination of point and line features was proposed. With this method, preparatory registration is completed by extracting point features with the scale invariant feature transform (SIFT) algorithm, and a polynomial function is used to correct an image coarsely. On the basis of the above, the edge features of the image are extracted, and the registration of the edge features is carried out based on the distance similarity. The registration results of point and edge features are filtered by utilizing the color energy difference. A small-bin based differential correction method is used for finally accurate correction. The experimental results show that the proposed method can overcome the drawbacks of the point feature registration and the edge feature registration, the registration robustness is improved by 10%, and it can effectively complete the registration of UAV images with a large distortion.

     

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