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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Bibliographic Details
Published in:Remote Sensing
Main Authors: Mingfeng Wang, Marcel König, Natascha Oppelt
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
ice floes
sea ice motion
Arctic
Sentinel-1
Sentinel-2
remote sensing
Science
Q
Fram Strait
Sea ice
Online Access:https://doi.org/10.3390/rs13214473
https://doaj.org/article/655361940d524b5baf7d34ea1361de08
Description
Summary: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.

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