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dc.contributor.authorDemchev, Denis
dc.contributor.authorEriksson, Leif E.B.
dc.contributor.authorHildeman, Anders
dc.contributor.authorDierking, Wolfgang Fritz Otto
dc.date.accessioned2023-09-18T11:12:22Z
dc.date.available2023-09-18T11:12:22Z
dc.date.issued2023-08-07
dc.description.abstractIn this article, we investigate the feasibility to align synthetic aperture radar (SAR) imagery based on a compensation for sea ice drift occurring between temporally shifted image acquisitions. The image alignment is a requirement for improving sea ice classification by combining multifrequency SAR images acquired at different times. Images obtained at different radar frequencies provide complementary information, thus reducing ambiguities in the separation of ice types and the retrieval of sea ice parameters. For the alignment we use ice displacement vectors obtained from a sea ice drift retrieval algorithm based on pattern matching. The displacement vectors are organized on a triangular mesh and used for a piecewise affine transformation of the slave image onto the master image. In our case study, we developed an alignment framework for pairs of Advanced Land Observing Satellite-2 PALSAR-2 (L-band) and Sentinel-1 (C-band) images. We demonstrate several successful examples of alignment for time gaps ranging from a few hours to several days, depending on the ice conditions. The data were acquired over three test sites in the Arctic: 1) Belgica Bank, 2) Fram Strait, and 3) Lincoln Sea. We assess the quality of the alignment using the structural similarity index. From the displacement vectors, locations and extensions of patches of strong ice deformation are determined, which allows to estimate the possible areal size of successful alignment over undeformed ice and a judgment of the expected quality for each image pair. The comprehensive assessment of hundreds of aligned L–C SAR pairs shows the potential of our method to work under various environmental conditions provided that the ice drift can be estimated reliably.en_US
dc.identifier.citationDemchev, Eriksson, Hildeman, Dierking. Alignment of Multifrequency SAR Images Acquired over Sea Ice Using Drift Compensation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023;16:7393-7402en_US
dc.identifier.cristinIDFRIDAID 2173718
dc.identifier.doi10.1109/JSTARS.2023.3302576
dc.identifier.issn1939-1404
dc.identifier.issn2151-1535
dc.identifier.urihttps://hdl.handle.net/10037/31061
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en_US
dc.titleAlignment of Multifrequency SAR Images Acquired over Sea Ice Using Drift Compensationen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)