Wavelet-based coding of time-varying vector fields of ocean-surface winds

Geoscience applications often produce sizable datasets that are vector-valued and increasingly in need of compression algorithms to reduce storage and transmission burdens, particularly when the data are time-varying. In this paper, several advanced interframe-compression techniques are extended fro...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing Vol. 42; no. 6; pp. 1283 - 1290
Main Authors: Li Hua, Fowler, J.E.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.06.2004
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Applied geophysics
Compression algorithms
Data compression
Data visualization
Earth sciences
Earth, ocean, space
Exact sciences and technology
Geoscience
Image analysis
Internal geophysics
Laboratories
Marine geology
Motion compensation
Spatial resolution
Studies
Video compression
Wavelet transforms
algorithms
models
data processing
remote sensing
vector-valued data compression
velocity
quality
vector wavelet transform
ocean
winds
spatial resolution
Motion compensation
time-varying vector fields
high resolution
ISSN:0196-2892, 1558-0644
Online Access:Get full text
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Summary:Geoscience applications often produce sizable datasets that are vector-valued and increasingly in need of compression algorithms to reduce storage and transmission burdens, particularly when the data are time-varying. In this paper, several advanced interframe-compression techniques are extended from the traditional realm of natural video to the coding of time-varying vector fields. Although similar to natural video in some respects, time-varying vector-field sequences often possess complex temporal evolution of vector-valued features that are important to the analytic quality of the data yet defy the simple motion models widely employed for natural video. To improve coding performance, motion compensation with reduced resolution is proposed such that motion compensation is applied only at low spatial resolution, while high-resolution information, for which the motion model fails, is intraframe coded with no temporal decorrelation. In empirical results on datasets of ocean-surface winds, this reduced-resolution motion-compensation technique results in significant performance improvement and greater feature preservation.
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ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2004.826555