DeCreML is an advanced QGIS plugin that implements a complete workflow for
supervised classification of multispectral images using
machine learning (Random Forest) with the Orfeo ToolBox (OTB) framework.
The plugin allows you to analyze urban growth, land use, and spatial changes from satellite imagery such as Sentinel-2, orthophotos, or any multispectral raster.
Classification works by creating multiple decision trees during training. The output is generated by majority vote in the case of classification or the average of the trees' predictions in the case of regression. RandomForest with QML style.
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