I am relatively new to working with satellite imagery at 1 m resolution and am struggling with a methodology for "grouping" the imagery.
Using ArcGIS, I have performed an ISO classification on some aerial imagery and am trying to categorize different vegetation types. I am "see" the delineations between vegetation types, but they are based on multiple categories from the ISO classification. Combining the classes does not help. I have also worked with segmentation mean shift, but this yielded less than satisfactory results.
I am wondering if these is some methodology that allows for the reclassification of a classified raster that takes into account the class of neighboring cells. I know this is a relatively open-ended question, but not sure how to clear it up.
I think that the solution would be akin to classifying an impressionist painting.