1 citations · 1 across the 2 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
Assessing airborne laser scanning and aerial photogrammetry for deep learning-based stand delineation
Håkon Næss Sandum, Hans Ole Ørka, Oliver Tomic +1
Accurate forest stand delineation is essential for forest inventory and management but remains a largely manual and subjective process. A recent study has shown that deep learning…
cs.CV2025★ 1 cited
Semantic segmentation of forest stands using deep learning
Håkon Næss Sandum, Hans Ole Ørka, Oliver Tomic +2
Forest stands are the fundamental units in forest management inventories, silviculture, and financial analysis within operational forestry. Over the past two decades, a common meth…