My question has two parts. I have multispectral (r, g, b, RE, NIR) UAV orthomosaic that I am trying to classify. I am doing the following steps:
- Large Scale mean shift
- Train Vector Classifier
- Vector Classification
My questions are:
is there a general consensus as to what the best classifier in the Train Vector Classifier step is?
So far, I have used the Random Forest classifier, which has done well, but I really just chose it at random.
for my validation data, I have currently selected these myself but I am wondering if they are supposed to be random? Most of my image is a rocky substrate and if I choose them at random the majority of my checkpoints will be on the rocky class and miss out on my other classes.