Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms von Drumetz, Lucas, Meyer, Travis R., Chanussot, Jocelyn, Bertozzi, Andrea L., Jutten, Christian

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Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability von Drumetz, Lucas, Veganzones, Miguel-Angel, Henrot, Simon, Phlypo, Ronald, Chanussot, Jocelyn, Jutten, Christian

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MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition von Jouni, Mohamad, Mura, Mauro Dalla, Drumetz, Lucas, Comon, Pierre

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Residual Networks as Flows of Diffeomorphisms von Rousseau, François, Drumetz, Lucas, Fablet, Ronan

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Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry von Drumetz, Lucas, Chanussot, Jocelyn, Jutten, Christian, Ma, Wing-Kin, Iwasaki, Akira

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Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model von Drumetz, Lucas, Chanussot, Jocelyn, Jutten, Christian

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Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization von Qin, Jing, Lee, Harlin, Chi, Jocelyn T., Drumetz, Lucas, Chanussot, Jocelyn, Lou, Yifei, Bertozzi, Andrea L.

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Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability von Ibarrola-Ulzurrun, Edurne, Drumetz, Lucas, Marcello, Javier, Gonzalo-Martin, Consuelo, Chanussot, Jocelyn

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Contrasted Trends in Chlorophyll‐a Satellite Products von Pauthenet, Etienne, Martinez, Elodie, Gorgues, Thomas, Roussillon, Joana, Drumetz, Lucas, Fablet, Ronan, Roux, Maïlys

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Neural Koopman Prior for Data Assimilation von Frion, Anthony, Drumetz, Lucas, Dalla Mura, Mauro, Tochon, Guillaume, Bey, Abdeldjalil Aissa El

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Statistical forecast of the marine surge von Quintana, Gonzalo Iñaki, Tandeo, Pierre, Drumetz, Lucas, Leballeur, Laurent, Pavec, Marc

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Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields von Fablet, Ronan, Beauchamp, Maxime, Drumetz, Lucas, Rousseau, François

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Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing von Drumetz, Lucas, Ehsandoust, Bahram, Chanussot, Jocelyn, Rivet, Bertrand, Babaie-Zadeh, Massoud, Jutten, Christian

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A Multi-Mode Convolutional Neural Network to reconstruct satellite-derived chlorophyll-a time series in the global ocean from physical drivers von Roussillon, Joana, Fablet, Ronan, Gorgues, Thomas, Drumetz, Lucas, Littaye, Jean, Martinez, Elodie

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Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 2020, 12, 4156 von Martinez, Elodie, Brini, Anouar, Gorgues, Thomas, Drumetz, Lucas, Roussillon, Joana, Tandeo, Pierre, Maze, Guillaume, Fablet, Ronan

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Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean von Martinez, Elodie, Brini, Anouar, Gorgues, Thomas, Drumetz, Lucas, Roussillon, Joana, Tandeo, Pierre, Maze, Guillaume, Fablet, Ronan

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Subspace Detours Meet Gromov–Wasserstein von Bonet, Clément, Vayer, Titouan, Courty, Nicolas, Septier, François, Drumetz, Lucas

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Hyperspectral Local Intrinsic Dimensionality von Drumetz, Lucas, Veganzones, Miguel A., Marrero Gomez, Ruben, Tochon, Guillaume, Dalla Mura, Mauro, Licciardi, Giorgio A., Jutten, Christian, Chanussot, Jocelyn

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Hyperspectral and Lidar: Complementary Tools to Identify Benthic Features and Assess the Ecological Status of Sabellaria alveolata Reefs von Bajjouk, Touria, Jauzein, Cecile, Drumetz, Lucas, Dalla Mura, Mauro, Duval, Audrey, Dubois, Stanislas F.

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Local Mixup: Interpolation of closest input signals to prevent manifold intrusion von Baena, Raphael, Drumetz, Lucas, Gripon, Vincent

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