Deriving Velocity Fields of Submesoscale Eddies Using Multi-Sensor Imagery
| Autor: | Igor Yanovsky, Benjamin Holt, Francois Ayoub |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences Ocean current 0211 other engineering and technologies Image registration 02 engineering and technology Kinematics Geodesy 01 natural sciences Nonlinear system Multigrid method Eddy Satellite imagery Physics::Atmospheric and Oceanic Physics Geology 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| Popis: | Small ocean eddies are observed in fine-resolution satellite imagery within the coastal regions and ice margins of the world's oceans. The derivation of surface velocity fields of these features would enable geophysical estimates of the kinematic energy contained within the eddies, leading to improved understanding of the role these eddies play in ocean circulation. In this paper, we develop a method to derive surface velocity fields of small ocean eddies using fine resolution, multi-sensor imagery obtained over short time intervals. We consider the evolving image to be embedded in a deformable medium, and perform image matching using nonlinear viscous fluid registration model. We employ sum of squared differences and mutual information as matching functionals. The physical continuum equation is solved using an efficient multigrid full approximation scheme. We test our method using synthetic aperture radar (SAR) image pairs and show that it produces promising results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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