2 papers
cs.CV2023
Lidar-based Norwegian tree species detection using deep learning
Martijn Vermeer, Jacob Alexander Hay, David Völgyes +3
Background: The mapping of tree species within Norwegian forests is a time-consuming process, involving forest associations relying on manual labeling by experts. The process can i…
cs.CV2023
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
Anuja Vats, David Völgyes, Martijn Vermeer +4
Estimating building footprint maps from geospatial data is of paramount importance in urban planning, development, disaster management, and various other applications. Deep learnin…