Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 331-334 |
| Number of pages | 4 |
| Journal | Geophysical Research Letters |
| Volume | 28 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jan 15 2001 |
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ASJC Scopus subject areas
- Geophysics
- Earth and Planetary Sciences(all)
Cite this
Detection of vortices and saddle points in SST data. / Yang, Q.; Parvin, B.; Mariano, Arthur J.
In: Geophysical Research Letters, Vol. 28, No. 2, 15.01.2001, p. 331-334.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Detection of vortices and saddle points in SST data
AU - Yang, Q.
AU - Parvin, B.
AU - Mariano, Arthur J
PY - 2001/1/15
Y1 - 2001/1/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0035862109&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035862109&partnerID=8YFLogxK
U2 - 10.1029/2000GL011408
DO - 10.1029/2000GL011408
M3 - Article
AN - SCOPUS:0035862109
VL - 28
SP - 331
EP - 334
JO - Geophysical Research Letters
JF - Geophysical Research Letters
SN - 0094-8276
IS - 2
ER -