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

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

Content Provider	MDPI
Author	Griebel, Jakob Dierking, Wolfgang
Abstract	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.
File Size	7526400
File Format	PDF
e-ISSN	20724292
DOI	10.3390/rs9070718
Journal	Remote Sensing
Issue Number	7
Volume Number	9
Language	English
Publisher Date	2017-07-12
Access Restriction	Open
Subject Keyword	sea ice drift sea ice deformation pattern matching reliability assessment outlier detection SAR images
Content Type	Text
Resource Type	Article

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