Metadata-Version: 2.1
Name: mlp-image-classifier
Version: 1.0.3
Summary: Supervised classification of an multi-band image using an MLP (Multi-Layer Perception) Neural Network Classifier. Based on the Neural Network MLPClassifier by scikit-learn:https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html
Home-page: https://bitbucket.org/kul-reseco/lnns
Author: Tinne Cahy (Geo Solutions); Ann Crabbé (KU Leuven)
Author-email: acrabbe.foss@gmail.com
License: UNKNOWN
Project-URL: Documentation, https://mlp-image-classifier.readthedocs.io
Project-URL: Source Code, https://bitbucket.org/kul-reseco/lnns/src
Project-URL: Issue Tracker, https://bitbucket.org/kul-reseco/lnns/issues
Description: About the Neural Network MLPClassifier
        --------------------------------------
        
        The *Neural Network MLPClassifier* software package is both a QGIS plugin and stand-alone python package
        that provides a supervised classification method for multi-band passive optical remote sensing data.
        It uses an MLP (Multi-Layer Perception) Neural Network Classifier and is based on the Neural Network MLPClassifier
        by scikit-learn: https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html.
        
        The program was originally developed by Lieven P.C. Verbeke (Ghent University, Laboratory of Forest Management and
        Spatial Information Techniques). It was written in C++ and ported to PyQGIS in 2019 - 2020. It has been developed in an
        open source environment to encourage further development of the tool.
        
        The **instruction pages** can be found at https://mlp-image-classifier.readthedocs.io and include guidance for
        installation, a user manual, exercises and an API.
        
        The **repository** and **testdata** can be found at https://bitbucket.org/kul-reseco/lnns.
        
        Referencing the Neural Network MLPClassifier
        --------------------------------------------
        
        When using the Neural Network MLPClassifier, please use the following citation:
        
        Crabbé, A. H., Cahy, T., Somers, B., Verbeke, L.P., Van Coillie, F. (2020). Neural Network MLPClassifier
        (Version x.x) [Software]. Available from https://bitbucket.org/kul-reseco/lnns.
        
        **Acknowledgements**
        
        The software and user guide are based on the Linear Neural Network Simulator [C++ software]:
        Ghent University, Laboratory of Forest Management and Spatial Information Techniques, Lieven P.C. Verbeke
        
        The revision into a QGIS plugin is funded primarily through BELSPO (the Belgian Science Policy Office) in the framework
        of the STEREO III Programme – Project LUMOS - SR/01/321.
        
        The LUMOS logo was created for free at https://logomakr.com.
        
        **Software Licence**
        
        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 Foobar.  If not see www.gnu.org/licenses.
        
Keywords: supervised classification,neural network,remote sensing,mlp,multi-layer perception classifier,image classification
Platform: UNKNOWN
Description-Content-Type: text/x-rst
