A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones

Retrievals of sea ice drift from synthetic aperture radar (SAR) images at high spatial resolution are valuable for understanding kinematic behavior and deformation processes of the ice at different spatial scales. Ice deformation causes temporal changes in patterns observed in sequences of SAR image...

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Published in:Remote Sensing
Main Authors: Jakob Griebel, Wolfgang Dierking
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2017
Subjects:
Q
Online Access:https://doi.org/10.3390/rs9070718
https://doaj.org/article/e87dfdbf442d4365a0ff16c29de225cc
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spelling ftdoajarticles:oai:doaj.org/article:e87dfdbf442d4365a0ff16c29de225cc 2023-05-15T18:16:39+02:00 A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones Jakob Griebel Wolfgang Dierking 2017-07-01T00:00:00Z https://doi.org/10.3390/rs9070718 https://doaj.org/article/e87dfdbf442d4365a0ff16c29de225cc EN eng MDPI AG https://www.mdpi.com/2072-4292/9/7/718 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9070718 https://doaj.org/article/e87dfdbf442d4365a0ff16c29de225cc Remote Sensing, Vol 9, Iss 7, p 718 (2017) sea ice drift sea ice deformation pattern matching reliability assessment outlier detection SAR images Science Q article 2017 ftdoajarticles https://doi.org/10.3390/rs9070718 2022-12-31T16:12:54Z Retrievals of sea ice drift from synthetic aperture radar (SAR) images at high spatial resolution are valuable for understanding kinematic behavior and deformation processes of the ice at different spatial scales. Ice deformation causes temporal changes in patterns observed in sequences of SAR images; which makes it difficult to retrieve ice displacement with algorithms based on correlation and feature identification techniques. Here, we propose two extensions to a pattern matching algorithm, with the objective to improve the reliability of the retrieved sea ice drift field at spatial resolutions of a few hundred meters. Firstly, we extended a reliability assessment proposed in an earlier study, which is based on analyzing texture and correlation parameters of SAR image pairs, with the aim to reject unreliable pattern matches. The second step is specifically adapted to the presence of deformation features to avoid the erasing of discontinuities in the drift field. We suggest an adapted detection scheme that identifies linear deformation features (LDFs) in the drift vector field, and detects and replaces outliers after considering the presence of such LDFs in their neighborhood. We validate the improvement of our pattern matching algorithm by comparing the automatically retrieved drift to manually derived reference data for three SAR scenes acquired over different sea ice covered regions. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 9 7 718
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic sea ice drift
sea ice deformation
pattern matching
reliability assessment
outlier detection
SAR images
Science
Q
spellingShingle sea ice drift
sea ice deformation
pattern matching
reliability assessment
outlier detection
SAR images
Science
Q
Jakob Griebel
Wolfgang Dierking
A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones
topic_facet sea ice drift
sea ice deformation
pattern matching
reliability assessment
outlier detection
SAR images
Science
Q
description Retrievals of sea ice drift from synthetic aperture radar (SAR) images at high spatial resolution are valuable for understanding kinematic behavior and deformation processes of the ice at different spatial scales. Ice deformation causes temporal changes in patterns observed in sequences of SAR images; which makes it difficult to retrieve ice displacement with algorithms based on correlation and feature identification techniques. Here, we propose two extensions to a pattern matching algorithm, with the objective to improve the reliability of the retrieved sea ice drift field at spatial resolutions of a few hundred meters. Firstly, we extended a reliability assessment proposed in an earlier study, which is based on analyzing texture and correlation parameters of SAR image pairs, with the aim to reject unreliable pattern matches. The second step is specifically adapted to the presence of deformation features to avoid the erasing of discontinuities in the drift field. We suggest an adapted detection scheme that identifies linear deformation features (LDFs) in the drift vector field, and detects and replaces outliers after considering the presence of such LDFs in their neighborhood. We validate the improvement of our pattern matching algorithm by comparing the automatically retrieved drift to manually derived reference data for three SAR scenes acquired over different sea ice covered regions.
format Article in Journal/Newspaper
author Jakob Griebel
Wolfgang Dierking
author_facet Jakob Griebel
Wolfgang Dierking
author_sort Jakob Griebel
title A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones
title_short A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones
title_full A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones
title_fullStr A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones
title_full_unstemmed A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones
title_sort method to improve high-resolution sea ice drift retrievals in the presence of deformation zones
publisher MDPI AG
publishDate 2017
url https://doi.org/10.3390/rs9070718
https://doaj.org/article/e87dfdbf442d4365a0ff16c29de225cc
genre Sea ice
genre_facet Sea ice
op_source Remote Sensing, Vol 9, Iss 7, p 718 (2017)
op_relation https://www.mdpi.com/2072-4292/9/7/718
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs9070718
https://doaj.org/article/e87dfdbf442d4365a0ff16c29de225cc
op_doi https://doi.org/10.3390/rs9070718
container_title Remote Sensing
container_volume 9
container_issue 7
container_start_page 718
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