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Experimental Results on Co-registration for Multitemporal ICEYE SAR Images
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0001-9267-6718
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
2024 (English)In: Proceedings of the IEEE Radar Conference, Institute of Electrical and Electronics Engineers (IEEE), 2024Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present experimental results on SAR image co-registration. The simple-coregistration method does not requires information on coordinates of flights, ground scene and so on. Two reference samples in each SAR image that can be easily selected are what the method requires. The method is based on re-sampling SAR images with respect to a selected image plane. The re-sampling was performed based on 2-D fast Fourier transform and cubic spline 2D interpolation. The experimental results in multitemporal data with ICEYE satellite data show an increase in the coherence magnitude between the images after the co-registration method. Namely, the coherence increases about three times after co-registration in a particular setting. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024.
Series
IEEE International Conference on Radar (RADAR), ISSN 1097-5764, E-ISSN 2640-7736
Keywords [en]
co-registration, coherence magnitude, ICEYE, SAR images, Image registration, Coregistration, Fast fourier, Image co-registration, Image plane, Multi-temporal, Resampling, Simple++, Fast Fourier transforms
National Category
Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:bth-27979DOI: 10.1109/RADAR58436.2024.10993653ISI: 001562292300039Scopus ID: 2-s2.0-105005743469ISBN: 9798350362381 (print)OAI: oai:DiVA.org:bth-27979DiVA, id: diva2:1962911
Conference
2024 International Radar Conference, RADAR 2024, Rennes, Oct 21-25, 2024
Available from: 2025-06-02 Created: 2025-06-02 Last updated: 2025-11-14Bibliographically approved

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Ramos, Lucas P.Vu, Viet ThuyPettersson, Mats

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