Using ArcMap 10.4.1 Interactive Supervised Classification, I have classified a Sentinel 2 image in Malawi, Africa and am trying to assess the accuracy but having issues with the confusion matrix. While I initially identified 14 classes, I understand that this is more than needed and will try to amalgamate some classes. I would first, however, like to see the per-class and overall accuracy to know how to improve the classification.
My training samples are as follows:
My testing samples are below:
you need to screen grab your images, the sharing thing is throwing a permissions error ... at least on my machine
Thank you, I re-attached the photos, hopefully it is working now.
I resolved the issue. The confusion matrix classes were corresponding to the "Value" column of the training sample manager and the values were (apparently) random, so I changed the values to correspond with the Class ID for both the training and testing data.