Sea ice drift retrieval from SAR using feature tracking
Abstract
The state of the art methods for sea ice drift retrieval from sequential SAR images are described. An original algorithm based on scale-spaced image representation that effi cient both to noise suppression and signal preserving is proposed. The validation of the algorithm against the manual-derived reference data presented. Its advantages demonstrated in comparison with previously developed algorithms using Sentinel-1a data.
About the Authors
D. M. Demchev
Научный фонд «Центр по окружающей среде и дистанционному зондированию имени Нансена»; ГНЦ РФ Арктический и антарктический научно-исследовательский институт
Russian Federation
Russian Federation
V. A. Volkov
Научный фонд «Центр по окружающей среде и дистанционному зондированию имени Нансена»
Russian Federation
Russian Federation
V. S. Khmeleva
Научный фонд «Центр по окружающей среде и дистанционному зондированию имени Нансена»
Russian Federation
Russian Federation
E. E. Kazakov
Научный фонд «Центр по окружающей среде и дистанционному зондированию имени Нансена»; Санкт-Петербургский государственный университет (СПбГУ)
Russian Federation
Russian Federation
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Review
For citations:
Demchev D.M., Volkov V.A., Khmeleva V.S., Kazakov E.E. Sea ice drift retrieval from SAR using feature tracking. Arctic and Antarctic Research. 2016;(3):5-19. (In Russ.)
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