Background, in case it helps: My objective is to (eventually) fully automate the mass digitization of grain silos. To this end, I have set out to first find a way to automatically identify silos in a given raster image.
Question: Is there any way to automate the generation of training samples for the purpose of supervised classification in Arc, QGIS, or any other program?
I'm pawing through the literature and mainly finding things about convolutional neural networks and machine learning which, frankly, is above my pay grade. It's sadly looking like I could potentially be better off just with unsupervised classification, at the cost of accuracy and specificity.
As always, happy for any input or literature review recommendations!