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# License information | ||
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Code for the DeepHyperX toolbox is dual licensed depending on applications, research or commercial. | ||
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## COMMERCIAL PURPOSES | ||
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Please contact the ONERA [www.onera.fr/en/contact-us](www.onera.fr/en/contact-us) for additional information or directly the authors Nicolas Audebert or Bertrand Le Saux. | ||
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## RESEARCH AND NON COMMERCIAL PURPOSES | ||
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#### Code license | ||
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For research and non commercial purposes, all the code and documentation is released under the GPLv3 license: | ||
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Copyright (c) 2018 ONERA and IRISA, Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre. | ||
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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. | ||
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PLEASE ACKNOWLEDGE THE ORIGINAL AUTHORS AND PUBLICATION ACCORDING TO THE REPOSITORY github.com/nshaud/DeepHyperx OR IF NOT AVAILABLE: | ||
Nicolas Audebert, Bertrand Le Saux and Sébastien Lefèvre | ||
"Deep Learning for Classification of Hyperspectral Data: A comparative review", | ||
IEEE Geosciences and Remote Sensing Magazine, 2019. |