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Communication Dans Un Congrès Année : 2015

Non-Local Super-resolution of Missing Data in Multi-sensor Observations of Sea Surface Geophysical Fields

Résumé

We address here the interpolation of missing data in high-resolution geophysical fields under the assumption that a simultaneous low-resolution observation is available. Such multi-scale interpolation is expected to depict geophysically consistent features, especially: i) consistent high-resolution textured patterns, ii) non-Gaussian marginals and iii) specific spectral density. We propose a novel model to address this multi-scale interpolation jointly accounting for the above-mentioned constrains. The key idea is to exploit a non-local or patch-based framework. Such exemplar-based representation provides an implicit texture model, which directly exploits available observations to reconstruct consistent geophysical patterns.
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Dates et versions

hal-01292234 , version 1 (22-03-2016)

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  • HAL Id : hal-01292234 , version 1

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Ronan Fablet, François Rousseau. Non-Local Super-resolution of Missing Data in Multi-sensor Observations of Sea Surface Geophysical Fields. IGARSS 2015: IEEE International Geoscience and Remote Sensing Symposium, Jul 2015, Milan, Italy. pp.TUP.PJ.8. ⟨hal-01292234⟩
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