Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass
Oehmcke, Stefan; Li, Lei; Revenga, Jaime; Nord-Larsen, Thomas; Trepekli, Katerina; Gieseke, Fabian; Igel, Christian
Schlüsselwörter
point cloud data; biomass estimation; deep learning
Publikationstyp
Forschungsartikel in Sammelband (Konferenz)
Begutachtet
Ja
Publikationsstatus
accepted / in press (not yet published)
Jahr
2022
Konferenz
International Conference on Advances in Geographic Information Systems (SIGSPATIAL)
Konferenzort
Seattle, Washington
Buchtitel
30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022)
Verlag
Association for Computing Machinery
Sprache
Englisch