Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation
In 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...
Published in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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ftdoajarticles:oai:doaj.org/article:d990ecf804354dd09cc4cd06cec3292e 2023-09-05T13:17:18+02:00 Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation Denis Demchev Leif E.B. Eriksson Anders Hildeman Wolfgang Dierking 2023-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2023.3302576 https://doaj.org/article/d990ecf804354dd09cc4cd06cec3292e EN eng IEEE https://ieeexplore.ieee.org/document/10210043/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2023.3302576 https://doaj.org/article/d990ecf804354dd09cc4cd06cec3292e IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7393-7402 (2023) Advanced land observing satellite-2 (ALOS-2) alignment arctic drift multifrequency registration Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2023 ftdoajarticles https://doi.org/10.1109/JSTARS.2023.3302576 2023-08-20T00:35:41Z In 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. Article in Journal/Newspaper Arctic Fram Strait Lincoln Sea Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Belgica Bank ENVELOPE(-15.000,-15.000,78.467,78.467) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16 7393 7402 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Advanced land observing satellite-2 (ALOS-2) alignment arctic drift multifrequency registration Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Advanced land observing satellite-2 (ALOS-2) alignment arctic drift multifrequency registration Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Denis Demchev Leif E.B. Eriksson Anders Hildeman Wolfgang Dierking Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation |
topic_facet |
Advanced land observing satellite-2 (ALOS-2) alignment arctic drift multifrequency registration Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
In 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. |
format |
Article in Journal/Newspaper |
author |
Denis Demchev Leif E.B. Eriksson Anders Hildeman Wolfgang Dierking |
author_facet |
Denis Demchev Leif E.B. Eriksson Anders Hildeman Wolfgang Dierking |
author_sort |
Denis Demchev |
title |
Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation |
title_short |
Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation |
title_full |
Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation |
title_fullStr |
Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation |
title_full_unstemmed |
Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation |
title_sort |
alignment of multifrequency sar images acquired over sea ice using drift compensation |
publisher |
IEEE |
publishDate |
2023 |
url |
https://doi.org/10.1109/JSTARS.2023.3302576 https://doaj.org/article/d990ecf804354dd09cc4cd06cec3292e |
long_lat |
ENVELOPE(-15.000,-15.000,78.467,78.467) |
geographic |
Arctic Belgica Bank |
geographic_facet |
Arctic Belgica Bank |
genre |
Arctic Fram Strait Lincoln Sea Sea ice |
genre_facet |
Arctic Fram Strait Lincoln Sea Sea ice |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7393-7402 (2023) |
op_relation |
https://ieeexplore.ieee.org/document/10210043/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2023.3302576 https://doaj.org/article/d990ecf804354dd09cc4cd06cec3292e |
op_doi |
https://doi.org/10.1109/JSTARS.2023.3302576 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
16 |
container_start_page |
7393 |
op_container_end_page |
7402 |
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1776198520462639104 |