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
Link To Document :
بازگشت