Just test some capabilities associated with ‘object-based image classification’ in 10.3 and Pro, including “Segmentation and Classification” with “Generalization” tools.
From our experience, when working on mid-accuracy (around 10-m in accuracy) landuse and built-up feature extraction (roads, buildings) from pan-sharpened (1.5-m) SPOT 6 and NON-pan sharpened (1.5-m) Pleiades /GeoEye, the workflow with those tools are very effective and reproducible, in operation.
Of course, with pan-sharpened (0.5-m) Pleiades /GeoEye, the accuracy and efficiency are still not comparable to ERDAS Objective.
Generally speaking, those latest tools by 10.3 and Pro 1.0 offer the great improvements on this direction…
Thanks a lot, raster team…
