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.

image retrieval

phase-correlation

sea ice

SAR

Författare

Denis Demchev

Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys

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, 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,

Ämneskategorier

Atom- och molekylfysik och optik

DOI

10.1109/EIConRus49466.2020.9039240

Mer information

Senast uppdaterat

2020-04-22