I am really new to Deep Learning and, unfortunately, I can't find example codes on land cover classification other than this one where the author wrote a script in R for a large dataset.
The main reason that I am asking is because recently I found a few papers on Remote Sensing Image classification using Deep Learning and I was wondering if there were any R examples on that subject.
So, is there a code example, preferably a step-by-step, which I can use?
I found several git repos like Deep Neural Network with keras-R: Satellite-Image Classification that can do Deep Learning classification with R, BUTT, I am still looking for a simple multi-spectral image segmentation method. An example of that can be found at Unsupervised Image Segmentation with Spectral Clustering with R and I also found a similar question in Multispectral image segmentation for natural-resources applications using R for which the answer is "use something else other than R if you can".
If I find anything that works today I will be posting a working answer.