Improving Sea Ice Drift Retrieval from SAR Images Using Phase- and Cross-Correlation Techniques
Paper i proceeding, 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
Författare
Denis Demchev
Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys
Victoria V. Kharchenko
Saint Petersburg Electrotechnical University
Olga M. Andeeva
Saint Petersburg Electrotechnical University
Petr V. Korobov
Arctic and Antarctic Research Institute
Leif Eriksson
Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys
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,
St. Petersburg and Moscow, Russia,
Unfolding Sea Ice Dynamics with SAR
Rymdstyrelsen (192/15), 2016-01-01 -- 2018-12-31.
Ämneskategorier
Atom- och molekylfysik och optik
DOI
10.1109/EIConRus49466.2020.9039240