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Dealing with sparse data

The sparse tracks present a problem that is seen a lot in geophysics. We have a non-stationary geological surface, in this case the surface of the ocean. We have missing data, in this case the gaps between the tracks. Our known data is along irregular geometries, the sparse tracks themselves. Previous results in the sparse region were regularized with PEFs estimated on the dense region Lomask (1998). Now, we would like to deal only with the sparse data. Our goal is to estimate a filter on the the known sparse data and use it to fill the missing data. Ideally, we could estimate two 1D filters; one on the ascending sparse tracks and one on the descending sparse tracks. In the real world, this would be problematic because the geometry of the tracks is irregular.

 
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Next: Possible solutions Up: Lomask: Madagascar Previous: Estimating PEF on residual
Stanford Exploration Project
6/8/2002