Oblique aerial image matching based on iterative simulation and homography evaluation

Woo Hyuck Song, Hong Gyu Jung, In Youb Gwak, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


This paper presents a fast and accurate method for matching oblique aerial image pairs. In order to achieve accurate matching results, we must consider viewpoint differences between the input images in addition to rotation and scaling. Existing methods that match aerial image pairs with viewpoint differences undergo heavy computation and have difficulty finding correspondences. In this paper, we propose a homography matrix evaluation method based on a geometric approach to increase the accuracy of image matching results. In addition, we achieve faster matching through an iterative transform simulation that reduces computational complexity. Experimental results show that the proposed method improves aerial image matching in terms of computational efficiency while achieving successful matching results.

Original languageEnglish
Pages (from-to)317-331
Number of pages15
JournalPattern Recognition
Publication statusPublished - 2019 Mar


  • Aerial image
  • Feature matching
  • Homography matrix
  • SIFT descriptor
  • Viewpoint change

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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