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20182023
most citedSpectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

260 citations · 657 across the 30 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.IV2020

Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions Using Residual Neural Networks

Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz

Making the most of multispectral image time-series is a promising but still relatively under-explored research direction because of the complexity of jointly analyzing spatial, spe…

cs.LG2020★ 6 cited

Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations

Duong Nguyen, Said Ouala, Lucas Drumetz +1

The data-driven recovery of the unknown governing equations of dynamical systems has recently received an increasing interest. However, the identification of governing equations re…

physics.comp-ph2020★ 94 cited

Learning Variational Data Assimilation Models and Solvers

Ronan Fablet, Bertrand Chapron, Lucas. Drumetz +3

This paper addresses variational data assimilation from a learning point of view. Data assimilation aims to reconstruct the time evolution of some state given a series of observati…

cs.LG2020★ 21 cited

Joint learning of variational representations and solvers for inverse problems with partially-observed data

Ronan Fablet, Lucas Drumetz, Francois Rousseau

Designing appropriate variational regularization schemes is a crucial part of solving inverse problems, making them better-posed and guaranteeing that the solution of the associate…

physics.ao-ph2020

Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks

Redouane Lguensat, Ronan Fablet, Julien Le Sommer +5

The upcoming Surface Water Ocean Topography (SWOT) satellite altimetry mission is expected to yield two-dimensional high-resolution measurements of Sea Surface Height (SSH), thus a…

eess.IV2020★ 260 cited

Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +6

The spectral signatures of the materials contained in hyperspectral images, also called endmembers (EM), can be significantly affected by variations in atmospheric, illumination or…