Is it possible to do accuracy assessment using polygons as reference data as against point data?
I have field-identified polygons as data for training and reference (from a forest-agri mosaic) that have been identified from field. The regular post-classification accuracy assessment method is to use random points and check background image. But instead can I use my field polygons as reference data, instead of points. Problem being, I cannot correctly interpret the land use on the background image or even on googleearth since it is complex forest-agri mosaic. All I have is my reference data which are polygons.
I could convert each polygon into a point and do it, but that defeats the purpose, I feel. the idea is to try to get the software to recognize all pixels in every reference polygon as a single class. Can this be done? If yes, how? I am using ERDAS 2014, but I also notice the QGIS 2.6 plugin for accuracy assessment.