Oblique aerial image matching based on iterative simulation and homography evaluation

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

doi:10.1016/j.patcog.2018.10.027

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 journal › Article › peer-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 language	English
Pages (from-to)	317-331
Number of pages	15
Journal	Pattern Recognition
Volume	87
DOIs	https://doi.org/10.1016/j.patcog.2018.10.027
Publication status	Published - 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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10.1016/j.patcog.2018.10.027

Cite this

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title = "Oblique aerial image matching based on iterative simulation and homography evaluation",

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.",

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AU - Jung, Hong Gyu

AU - Gwak, In Youb

AU - Lee, Seong Whan

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N2 - 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.

AB - 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.

KW - Aerial image

KW - Feature matching

KW - Homography matrix

KW - SIFT descriptor

KW - Viewpoint change

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JO - Pattern Recognition

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Oblique aerial image matching based on iterative simulation and homography evaluation

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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