Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2

We present an algorithm for computing ice drift in the marginal ice zone (MIZ), based on partial shape recognition. With the high spatial resolution of Sentinel-1 and Sentinel-2 images, and the low sensitivity to atmospheric influences of Sentinel-1, a considerable quantity of ice floes is identifie...

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Autores principales:	Mingfeng Wang, Marcel König, Natascha Oppelt
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	ice floes sea ice motion Arctic Sentinel-1 Sentinel-2 remote sensing Science Q
Acceso en línea:	https://doaj.org/article/655361940d524b5baf7d34ea1361de08
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spelling	oai:doaj.org-article:655361940d524b5baf7d34ea1361de082021-11-11T18:58:34ZPartial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-210.3390/rs132144732072-4292https://doaj.org/article/655361940d524b5baf7d34ea1361de082021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4473https://doaj.org/toc/2072-4292We present an algorithm for computing ice drift in the marginal ice zone (MIZ), based on partial shape recognition. With the high spatial resolution of Sentinel-1 and Sentinel-2 images, and the low sensitivity to atmospheric influences of Sentinel-1, a considerable quantity of ice floes is identified using a mathematical morphology method. Hausdorff distance is used to measure the similarity of segmented ice floes. It is tolerant to perturbations and deficiencies of floe shapes, which enhances the density of retrieved sea ice motion vectors. The PHD algorithm can be applied to sequential images from different sensors, and was tested on two combined image mosaics consisting of Sentinel-1 and Sentinel-2 data acquired over the Fram Strait; the PHD algorithm successfully produced pairs of matched ice floes. The matching result has been verified using shape and surface texture similarity of the ice floes. Moreover, the present method can naturally be extended to the problem of multi-source sea ice image registration.Mingfeng WangMarcel KönigNatascha OppeltMDPI AGarticleice floessea ice motionArcticSentinel-1Sentinel-2remote sensingScienceQENRemote Sensing, Vol 13, Iss 4473, p 4473 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ice floes sea ice motion Arctic Sentinel-1 Sentinel-2 remote sensing Science Q
spellingShingle	ice floes sea ice motion Arctic Sentinel-1 Sentinel-2 remote sensing Science Q Mingfeng Wang Marcel König Natascha Oppelt Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2
description	We present an algorithm for computing ice drift in the marginal ice zone (MIZ), based on partial shape recognition. With the high spatial resolution of Sentinel-1 and Sentinel-2 images, and the low sensitivity to atmospheric influences of Sentinel-1, a considerable quantity of ice floes is identified using a mathematical morphology method. Hausdorff distance is used to measure the similarity of segmented ice floes. It is tolerant to perturbations and deficiencies of floe shapes, which enhances the density of retrieved sea ice motion vectors. The PHD algorithm can be applied to sequential images from different sensors, and was tested on two combined image mosaics consisting of Sentinel-1 and Sentinel-2 data acquired over the Fram Strait; the PHD algorithm successfully produced pairs of matched ice floes. The matching result has been verified using shape and surface texture similarity of the ice floes. Moreover, the present method can naturally be extended to the problem of multi-source sea ice image registration.
format	article
author	Mingfeng Wang Marcel König Natascha Oppelt
author_facet	Mingfeng Wang Marcel König Natascha Oppelt
author_sort	Mingfeng Wang
title	Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2
title_short	Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2
title_full	Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2
title_fullStr	Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2
title_full_unstemmed	Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2
title_sort	partial shape recognition for sea ice motion retrieval in the marginal ice zone from sentinel-1 and sentinel-2
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/655361940d524b5baf7d34ea1361de08
work_keys_str_mv	AT mingfengwang partialshaperecognitionforseaicemotionretrievalinthemarginalicezonefromsentinel1andsentinel2 AT marcelkonig partialshaperecognitionforseaicemotionretrievalinthemarginalicezonefromsentinel1andsentinel2 AT nataschaoppelt partialshaperecognitionforseaicemotionretrievalinthemarginalicezonefromsentinel1andsentinel2
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Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2

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