DocumentCode
2059455
Title
Multiresolution stochastic imaging of satellite oceanographic altimetric data
Author
Fieguth, Paul W. ; Willsky, Alan S. ; Karl, W. Clem
Author_Institution
Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
Volume
2
fYear
1994
fDate
13-16 Nov 1994
Firstpage
1
Abstract
Large data assimilation problems present a number of challenges, many of which the authors´ multiscale estimation framework is capable of addressing. They demonstrate the application of their estimation framework to an oceanographic data assimilation problem of considerable interest: the smoothing of Topex/Poseidon ocean altimetric data. they produce surface estimates and error statistics on a 512×512 grid in one minute on a Sparc-10. Using a generic surface reconstruction problem they demonstrate alternative uses of the multiscale framework: higher order state models, combining estimates from an ensemble of trees, and overlapping tree models
Keywords
error statistics; geophysical signal processing; image reconstruction; oceanographic techniques; radar altimetry; radar imaging; remote sensing by radar; smoothing methods; state estimation; stochastic processes; trees (mathematics); Topex/Poseidon ocean altimetric data; error statistics; higher order state models; large data assimilation problems; multiresolution stochastic imaging; multiscale estimation framework; multiscale framework; overlapping tree models; satellite oceanographic altimetric data; surface estimates; surface reconstruction problem; trees; Data assimilation; Error analysis; Image reconstruction; Image resolution; Oceans; Satellites; Sea surface; Smoothing methods; Stochastic processes; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413519
Filename
413519
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