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