Nombre de documents

9

CV de Drumetz Lucas


Communication dans un congrès6 documents

  • Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten. Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. LVA/ICA 2017, Feb 2017, Grenoble, France. Springer, Lectures Notes in Computer Sciences (10169), pp.381 - 391, 2017, Latent Variable Analysis and Signal Separation. <10.1007/978-3-319-53547-0_36>. <hal-01479420>
  • Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot. From local to global unmixing of hyperspectral images to reveal spectral variability. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2016), Aug 2016, Los Angeles, CA, United States. 2016, WHISPERS 2016. <http://www.ieee-whispers.com/>. <hal-01356156>
  • Travis Meyer, Lucas Drumetz, Jocelyn Chanussot, Andrea Bertozzi, Christian Jutten. Hyperspectral unmixing with material variability using social sparsity. IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, United States. 2016, Proceedings of the 2016 IEEE International Conference on Image Processing (ICIP). <http://2016.ieeeicip.org/default.asp>. <10.1109/ICIP.2016.7532746>. <hal-01364247>
  • Lucas Drumetz, Simon Henrot, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten. Démélange aveugle d'images hyperspectrales à l'aide d'un modèle linéaire étendu tenant compte de la variabilité spectrale. XXVème colloque GRETSI (GRETSI 2015), Sep 2015, Lyon, France. XXVème colloque GRETSI (GRETSI 2015), <gretsi.fr/colloque2015/>. <hal-01236637>
  • Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero, Guillaume Tochon, Mauro Dalla Mura, et al.. Binary partition tree-based local spectral unmixing. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2014), Jun 2014, Lausanne, Switzerland. pp.n/c, 2014. <hal-01010427>
  • Miguel Angel Veganzones, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, et al.. A New Extended Linear Mixing Model to Address Spectral Variability. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2014), Jun 2014, Lausanne, Switzerland. pp.n/c, 2014. <hal-01010424>

Pré-publication, Document de travail1 document

  • Miguel Angel Veganzones, Jérémy E. Cohen, R Cabral Farias, K Usevich, Lucas Drumetz, et al.. CANONICAL POLYADIC DECOMPOSITION OF HYPERSPECTRAL PATCH TENSORS. 2016. <hal-01382362>

Article dans une revue2 documents

  • Lucas Drumetz, Miguel Angel Veganzones, Rubén Marrero, Guillaume Tochon, Mauro Dalla Mura, et al.. Hyperspectral Local Intrinsic Dimensionality. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, <10.1109/TGRS.2016.2536480>. <hal-01292198>
  • Lucas Drumetz, Miguel-Angel Veganzones, Simon Henrot, Ronald Phlypo, Jocelyn Chanussot, et al.. Blind hyperspectral unmixing using an Extended Linear Mixing Model to address spectral variability. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2016, IEEE Transactions on Image Processing, <http://ieeexplore.ieee.org/Xplore/home.jsp>. <10.1109/TIP.2016.2579259>. <hal-01336279>