130 citations · 290 across the 26 of their papers we have counts for
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Generalization performance of neural mapping schemes for the space-time interpolation of satellite-derived ocean colour datasets
Thi Thuy Nga Nguyen, Clément Dorffer, Frédéric Jourdin +1
Neural mapping schemes have become appealing approaches to deliver gap-free satellite-derived products for sea surface tracers. The generalization performance of these learning-bas…
Observation-only learning of neural mapping schemes for gappy satellite-derived ocean colour parameters
Clément Dorffer, Frédéric Jourdin, Thi Thuy Nga Nguyen +3
Monitoring optical properties of coastal and open ocean waters is crucial to assessing the health of marine ecosystems. Deep learning offers a promising approach to address these e…
Neural SPDE solver for uncertainty quantification in high-dimensional space-time dynamics
Maxime Beauchamp, Ronan Fablet, Hugo Georgenthum
Historically, the interpolation of large geophysical datasets has been tackled using methods like Optimal Interpolation (OI) or model-based data assimilation schemes. However, the…
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using a State-Space Model Formulation
Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon +1
Hyperspectral image unmixing is an inverse problem aiming at recovering the spectral signatures of pure materials of interest (called endmembers) and estimating their proportions (…