Statistical multiscale approach to mapping altimetric data

Paul W. Fieguth; William Clement Karl; Alan S. Willsky

doi:10.1117/12.179217

30 June 1994 Statistical multiscale approach to mapping altimetric data

Paul W. Fieguth, William Clement Karl, Alan S. Willsky

Proceedings Volume 2304, Neural and Stochastic Methods in Image and Signal Processing III; (1994) https://doi.org/10.1117/12.179217
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

A challenging problem in oceanography is the dense estimation of the surface of the ocean in a statistically meaningful manner, given sparse and irregularly sampled measurements of the surface. A previously developed highly efficient multiscale estimation framework is shown to be an appropriate tool for this task, and we demonstrate the manner of application and present experimental results. The algorithm is capable of computing 250,000 surface estimates of the ocean with error statistics in five seconds on a Sparc workstation.

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Paul W. Fieguth, William Clement Karl, and Alan S. Willsky "Statistical multiscale approach to mapping altimetric data", Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); https://doi.org/10.1117/12.179217

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