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

    16 Citations (Scopus)

    Abstract

    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
    Volume87
    DOIs
    Publication statusPublished - 2019 Mar

    Bibliographical note

    Funding Information:
    This work was supported by the Agency for Defense Development ( ADD ) and Defense Acquisition Program Administration ( DAPA ) of Korea ( UC160016FD ). Partial support was also provided by Institute for Information and communications Technology Promotion ( IITP ) grant funded by the Korea government(MSIT) (No. 2017-0-01779 , A machine learning and statistical inference framework for explainable artificial intelligence).

    Publisher Copyright:
    © 2018 Elsevier Ltd

    Keywords

    • 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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