Neural Network MLPClassifier Documentation


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:

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 <>.

The code repository can be found at


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


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


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 (COPYING.txt). If not see

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