Improving Sea Ice Drift Retrieval from SAR Images Using Phase- and Cross-Correlation Techniques
Paper in proceedings, 2020

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.

phase-correlation

SAR

sea ice

image retrieval

Author

Denis Demchev

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

Victoria V. Kharchenko

Sankt-Peterburgskij Gosudarstvennyj Elektrotehniceskij Universitet

Olga M. Andeeva

Sankt-Peterburgskij Gosudarstvennyj Elektrotehniceskij Universitet

Petr V. Korobov

Arctic and Antarctic Research Institute

Leif Eriksson

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020

1378-1381 9039240

2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020
St. Petersburg and Moscow, Russia,

Unfolding Sea Ice Dynamics with SAR

Swedish National Space Board, 2016-01-01 -- 2018-12-31.

Subject Categories

Atom and Molecular Physics and Optics

DOI

10.1109/EIConRus49466.2020.9039240

More information

Latest update

6/11/2020