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Performance Evaluation of Unsupervised Coregistration Algorithms for Multitemporal SAR Images
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6834-5676
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-0423-9927
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-3945-8951
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6643-312X
2022 (English)In: International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 64-67Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present three algorithms for the multitemporal synthetic aperture radar (SAR) images coregistration. The proposed algorithms are a 2-D cross correlation, a 1-D parabolic based, and a 2-D projective transformation. The 2-D cross correlation algorithm is used to obtain coarse estimation of the displacement for coregistration. In the second method, two independent 1-D parabolic interpolations are calculated to refine the estimation of the peak location of the cross correlation matrix with subpixel accuracy. Finally, in the third method, a 2-D projective transformation is employed to align the SAR images using point correspondences and the cubic interpolation. The performance evaluation of these algorithms are provided based on the coherence magnitude and the absolute displacement error for a point target using a corner reflector in the scene. The experimental results obtained on real recorded multitemporal satellite SAR data demonstrate the effectiveness and the computational complexity of these algorithms. © 2022 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 64-67
Series
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), ISSN 2153-6996, E-ISSN 2153-7003
Keywords [en]
2-D cross correlation, 2-D projective transformation, parabolic interpolation, SAR coregistration, synthetic aperture radar (SAR)
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-23832DOI: 10.1109/IGARSS46834.2022.9884014ISI: 000920916600017Scopus ID: 2-s2.0-85140413733ISBN: 9781665427920 (print)OAI: oai:DiVA.org:bth-23832DiVA, id: diva2:1708367
Conference
2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, 17 July 2022 through 22 July 2022
Available from: 2022-11-03 Created: 2022-11-03 Last updated: 2023-05-09Bibliographically approved

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Javadi, SalehPalm, BrunaVu, Viet ThuyPettersson, Mats

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