Improving Sea Ice Drift Retrieval from SAR Images Using Phase- and Cross-Correlation Techniques

A new combination of phase- and cross-correlation techniques for sea ice tracking from sequential synthetic aperture radar images investigated. An operational Python-based sea ice drift algorithm based on this combination from Sentinel-1 images is proposed.

Bibliographic Details
Published in:2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)
Main Authors: Demchev, Denis, Kharchenko, Victoria V., Andeeva, Olga M., Korobov, Petr V., Eriksson, Leif
Language:unknown
Published: 2020
Subjects:
Atom and Molecular Physics and Optics
phase-correlation
SAR
sea ice
image retrieval
Sea ice
Online Access:https://doi.org/10.1109/EIConRus49466.2020.9039240
https://research.chalmers.se/en/publication/516482
Description
Summary:A new combination of phase- and cross-correlation techniques for sea ice tracking from sequential synthetic aperture radar images investigated. An operational Python-based sea ice drift algorithm based on this combination from Sentinel-1 images is proposed.

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