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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 34, Number 12(5) (2022)
Copyright(C) MYU K.K.
pp. 4705-4715
S&M3138 Research Paper of Special Issue
https://doi.org/10.18494/SAM3982
Published: December 28, 2022

Rapid Subpixel Matching Method for Spaceborne Synthetic Aperture Radar Images [PDF]

Zhong Wang, Chenglin Cai, Mingjun Deng, Dongbo Zhang, and Zexian Li

(Received May 25, 2022; Accepted October 19, 2022)

Keywords: SAR images, image matching, subpixel, block matching

With the development of synthetic aperture radar (SAR) technology, SAR images are being widely applied, such as in SAR image fusion and transformation detection, where image matching is a key procedure. In this paper, a practical and rapid subpixel matching method is proposed for spaceborne SAR images. The subpixel SAR-oriented features from an accelerated segment test (SAR-OFAST) detection operator is employed to improve the detection accuracy of keypoints. By determining the overlapping area of master–slave images, the search range of matching is reduced, and the strategy of block matching is adopted to save computing resources. To verify the accuracy and reliability of the proposed matching method, several groups of SAR images obtained with an identical observation orientation and diverse observation angles were tested using the proposed and other methods. Experimental results demonstrate that the proposed method has a higher speed than other methods with similar performance in other indicators, making it more suitable for scenarios requiring high efficiency.

Corresponding author: Chenglin Cai


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Zhong Wang, Chenglin Cai, Mingjun Deng, Dongbo Zhang, and Zexian Li, Rapid Subpixel Matching Method for Spaceborne Synthetic Aperture Radar Images, Sens. Mater., Vol. 34, No. 12, 2022, p. 4705-4715.



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