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Symmetry
Volume 13
Issue 3
10.3390/sym13030407
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Article

Feature Point Matching Method for Aerial Image Based on Recursive Diffusion Algorithm

by
Jiayan Shen
1,
Xiucheng Guo
1,*,
Wenzong Zhou
2,
Yiming Zhang
1 and
Juchen Li
1
1
School of Transportation, Southeast University, No. 2 Dongnandaxue Road, Nanjing 211189, China
2
ZTE Corporation, No. 55 Keji South Road, Shenzhen 518057, China
*
Author to whom correspondence should be addressed.
Symmetry 2021, 13(3), 407; https://doi.org/10.3390/sym13030407
Submission received: 15 January 2021 / Revised: 18 February 2021 / Accepted: 22 February 2021 / Published: 2 March 2021
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Abstract

Aerial images are large-scale and susceptible to light. Traditional image feature point matching algorithms cannot achieve satisfactory matching accuracy for aerial images. This paper proposes a recursive diffusion algorithm, which is scale-invariant and can be used to extract symmetrical areas of different images. This narrows the matching range of feature points by extracting high-density areas of the image and improving the matching accuracy through correlation analysis of high-density areas. Through experimental comparison, it can be found that the recursive diffusion algorithm has more advantages compared to the correlation coefficient method and the mean shift algorithm when matching accuracy of aerial images, especially when the light of aerial images changes greatly.
Keywords: aerial image; feature point matching; recursive diffusion algorithm; high-density area extraction; correlation analysis aerial image; feature point matching; recursive diffusion algorithm; high-density area extraction; correlation analysis

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MDPI and ACS Style

Shen, J.; Guo, X.; Zhou, W.; Zhang, Y.; Li, J. Feature Point Matching Method for Aerial Image Based on Recursive Diffusion Algorithm. Symmetry 2021, 13, 407. https://doi.org/10.3390/sym13030407

AMA Style

Shen J, Guo X, Zhou W, Zhang Y, Li J. Feature Point Matching Method for Aerial Image Based on Recursive Diffusion Algorithm. Symmetry. 2021; 13(3):407. https://doi.org/10.3390/sym13030407

Chicago/Turabian Style

Shen, Jiayan, Xiucheng Guo, Wenzong Zhou, Yiming Zhang, and Juchen Li. 2021. "Feature Point Matching Method for Aerial Image Based on Recursive Diffusion Algorithm" Symmetry 13, no. 3: 407. https://doi.org/10.3390/sym13030407

APA Style

Shen, J., Guo, X., Zhou, W., Zhang, Y., & Li, J. (2021). Feature Point Matching Method for Aerial Image Based on Recursive Diffusion Algorithm. Symmetry, 13(3), 407. https://doi.org/10.3390/sym13030407

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