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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fieguth, P.W. Karl, W.C. Willsky, A.S. |
| Copyright Year | 1994 |
| Description | Author affiliation: Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA (Fieguth, P.W.; Karl, W.C.; Willsky, A.S.) |
| Abstract | Remarkable advances in remote sensing are producing measurements on increasingly finer grids, offering the possibility of a far better understanding and characterization of the ocean surface. The sheer quantity of measurements has rendered traditional data smoothing/assimilation algorithms obsolete however, even on high performance workstations; the basis of this paper is the application of an extremely fast multiresolution smoothing framework to ocean altimetry data. Using the previously developed multiresolution framework, a simple multiscale model is developed which captures the characteristic power-law spectrum of the ocean surface. Smoothing altimetric data and computing error variances on a grid of 512 by 512 points is accomplished in about 10 seconds on a SUN Sparc-10. Finally, further applications of this framework within the oceanographic context are discussed, including model identification and anomaly detection. |
| File Size | 434666 |
| File Format | |
| ISBN | 0780320565 |
| DOI | 10.1109/OCEANS.1994.363913 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-09-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Oceans Smoothing methods Sea measurements Sea surface Remote sensing Workstations Altimetry Grid computing Sun |
| Content Type | Text |
| Resource Type | Article |
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