3 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…
astro-ph.GA2013
Estimation of distances within the Milky Way using tidal streams
Daniele S. M. Fantin
During the past 20 years, numerous stellar streams have been discovered in both the Milky Way and the Local Group. These streams have been tidally torn from orbiting systems, which…