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License information

Code and network weights are released under different licenses, both are dual licenses depending on applications, research or commercial.

COMMERCIAL PURPOSES

Please contact the ONERA www.onera.fr/en/contact-us for additional information or directly the authors Nicolas Audebert or Bertrand Le Saux.

RESEARCH AND NON COMMERCIAL PURPOSES

Code license

For research and non commercial purposes, all the code and documentation is released under the GPLv3 license:

Copyright (c) 2017 ONERA and IRISA, Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre.

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

PLEASE ACKNOWLEDGE THE ORIGINAL AUTHORS AND PUBLICATION ACCORDING TO THE REPOSITORY github.com/nshaud/DeepNetsForEO OR IF NOT AVAILABLE: Nicolas Audebert, Bertrand Le Saux and Sébastien Lefèvre "Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks", Asian Conference on Computer Vision, 2016.

Network weights license

For research and non commercial purposes, all the network weights and documentation available at github.com/nshaud/DeepNetsForEO are released under the Creative Commons BY-NC-SA license, which implies:

  • Licensees may copy, distribute, display and perform the work and make derivative works and remixes based on it only if they give the author or licensor the credits (attribution) in the following manner: acknowledgement of the authors and paper citation as described on the repository page site, or if not available by citing either:
Nicolas Audebert, Bertrand Le Saux and Sébastien Lefèvre
"Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks", ISPRS Journal of Photogrammetry and Remote Sensing, 2017.

Nicolas Audebert, Bertrand Le Saux and Sébastien Lefèvre
"Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks", Asian Conference on Computer Vision, 2016.
  • Licensees may distribute derivative works only under a license identical ("not more restrictive") to the license that governs the original work. (See also copyleft.) Without share-alike, derivative works might be sublicensed with compatible but more restrictive license clauses, e.g. CC BY to CC BY-NC.)
  • Licensees may copy, distribute, display, and perform the work and make derivative works and remixes based on it only for non-commercial purposes. The detailed license is available at creativecommons.org.