Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation
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 multi-frequency SAR images acquired...
Published in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
---|---|
Main Authors: | , , , |
Language: | unknown |
Published: |
2023
|
Subjects: | |
Online Access: | https://doi.org/10.1109/JSTARS.2023.3302576 https://research.chalmers.se/en/publication/537145 |
id |
ftchalmersuniv:oai:research.chalmers.se:537145 |
---|---|
record_format |
openpolar |
spelling |
ftchalmersuniv:oai:research.chalmers.se:537145 2023-10-09T21:48:55+02:00 Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation Demchev, Denis Eriksson, Leif Hildeman, Anders Dierking, W. 2023 text https://doi.org/10.1109/JSTARS.2023.3302576 https://research.chalmers.se/en/publication/537145 unknown http://dx.doi.org/10.1109/JSTARS.2023.3302576 https://research.chalmers.se/en/publication/537145 Remote Sensing Oceanography Hydrology Water Resources Signal Processing Other Electrical Engineering Electronic Engineering Information Engineering drift alignment ALOS-2 Arctic Deformation Sea ice Radar imaging Nonvolatile memory Sentinel-1 Ice registration Radar multifrequency Random access memory 2023 ftchalmersuniv https://doi.org/10.1109/JSTARS.2023.3302576 2023-09-13T22:36:43Z 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 multi-frequency 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 ALOS-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 ice conditions. The data were acquired over three test sites in the Arctic: Belgica Bank, Fram Strait, and Lincoln Sea. We assess the quality of alignment using the structural similarity index (SSIM). 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. Other/Unknown Material Arctic Fram Strait Lincoln Sea Sea ice Chalmers University of Technology: Chalmers research 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 |
Chalmers University of Technology: Chalmers research |
op_collection_id |
ftchalmersuniv |
language |
unknown |
topic |
Remote Sensing Oceanography Hydrology Water Resources Signal Processing Other Electrical Engineering Electronic Engineering Information Engineering drift alignment ALOS-2 Arctic Deformation Sea ice Radar imaging Nonvolatile memory Sentinel-1 Ice registration Radar multifrequency Random access memory |
spellingShingle |
Remote Sensing Oceanography Hydrology Water Resources Signal Processing Other Electrical Engineering Electronic Engineering Information Engineering drift alignment ALOS-2 Arctic Deformation Sea ice Radar imaging Nonvolatile memory Sentinel-1 Ice registration Radar multifrequency Random access memory Demchev, Denis Eriksson, Leif Hildeman, Anders Dierking, W. Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation |
topic_facet |
Remote Sensing Oceanography Hydrology Water Resources Signal Processing Other Electrical Engineering Electronic Engineering Information Engineering drift alignment ALOS-2 Arctic Deformation Sea ice Radar imaging Nonvolatile memory Sentinel-1 Ice registration Radar multifrequency Random access memory |
description |
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 multi-frequency 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 ALOS-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 ice conditions. The data were acquired over three test sites in the Arctic: Belgica Bank, Fram Strait, and Lincoln Sea. We assess the quality of alignment using the structural similarity index (SSIM). 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. |
author |
Demchev, Denis Eriksson, Leif Hildeman, Anders Dierking, W. |
author_facet |
Demchev, Denis Eriksson, Leif Hildeman, Anders Dierking, W. |
author_sort |
Demchev, Denis |
title |
Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation |
title_short |
Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation |
title_full |
Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation |
title_fullStr |
Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation |
title_full_unstemmed |
Alignment of Multi-Frequency SAR Images Acquired over Sea Ice Using Drift Compensation |
title_sort |
alignment of multi-frequency sar images acquired over sea ice using drift compensation |
publishDate |
2023 |
url |
https://doi.org/10.1109/JSTARS.2023.3302576 https://research.chalmers.se/en/publication/537145 |
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_relation |
http://dx.doi.org/10.1109/JSTARS.2023.3302576 https://research.chalmers.se/en/publication/537145 |
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 |
_version_ |
1779311974734102528 |