This repository is a sandbox for experimenting with the R caret package - using Random Forests, Support Vector Machines and Neural Networks for a classic pixel based supervised classification/supervised learning of Sentinel-2 multispectral images.
This repository is rendered as a web page at https://valentinitnelav.github.io/satellite-image-classification-r/
If this work was helpful in any way and you like to cite it, you can do so like:
Valentin Ștefan. (2019). Exercise with pixel based supervised classification of Sentinel-2 multispectral images in R. Comparing Random Forests, SVM and Neural Networks. Zenodo. https://doi.org/10.5281/zenodo.7155593