( en | de | ru )

 

Disambiguation of "Drumetz, Lucas"

Author of the publication

copydeleteadd this publication to your clipboard
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization.

, , , , , , and . IEEE Trans. Geosci. Remote. Sens., 59 (4): 3338-3351 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Steffen Lucas

German Lucas

Rainer Lucas

Otto Lucas

Ekhart Lucas

 

Other publications of authors with the same name

Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression., , , , and . ICASSP, page 6190-6194. IEEE, (2017)Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity., , , and . LVA/ICA, volume 10169 of Lecture Notes in Computer Science, page 381-391. (2017)Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation., , , and . ICASSP, page 2483-2487. IEEE, (2020)Semiautomatic classification of cementitious materials using scanning electron microscope images., , , , and . J. Electronic Imaging, 24 (6): 061109 (2015)Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156., , , , , , , and . Remote. Sens., 14 (22): 5669 (2022)Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model., , and . IEEE Geosci. Remote. Sens. Lett., 17 (11): 1866-1870 (2020)Efficient Gradient Flows in Sliced-Wasserstein Space., , , and . Trans. Mach. Learn. Res., (2022)Neural Koopman prior for data assimilation., , , , and . CoRR, (2023)Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections., , , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 334-370. PMLR, (2023)End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems., , and . ICASSP, page 2360-2364. IEEE, (2021)