I have a raster dataset with an attribute table generated from a series of image classification (unsupervised) and processing tools (majority filter + boundary clean). The attribute table shows pixels of the classified image, grouped by classification i.e. the "OBJECTID" field.
I want to extract the portion of the image by "OBJECTID" to divide the classified image into separate rasters and ultimately, separate feature classes. e.g. take all pixels with OBJECTID = 2 and copy into new raster or convert to feature class
This has proved somewhat impossible for me so hopefully there's something simple that I'm missing?