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Yang et al. 2001
Yang, Q., Parvin, B. and Mariano, A. (2001). Detection of vortices and saddle points in SST data. Geophysical Research Letters 28: doi: 10.1029/2000GL011408. issn: 0094-8276.

We extend the Horn-Schunck model of flow field computation to incorporate incompressibility for tracking fluid motion. This is expressed as a weak form of zero-divergence constraint in the variational problem and implemented with a multigrid approach for efficient computation. The resulting feature displacement velocity field provides the basis for higher level abstraction and representation of the data for data mining. A robust and efficient algorithm, based on the Jordan curve index, for detecting vortices and saddle points in feature displacement fields derived from sequences of satellite-derived SST fields is presented. ¿ 2001 American Geophysical Union

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Abstract

Keywords
Exploration Geophysics, Remote sensing, Oceanography, Physical, Eddies and mesoscale processes
Journal
Geophysical Research Letters
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Publisher
American Geophysical Union
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