Gaussian Process Regression for Airborne Laser Scanning Based Forest Inventory: Validation and Parameter Selection

Varvia, Petri; Räty, Janne; Korhonen, Lauri; Packalen, Petteri

doi:10.34726/wim.1928

Datensatz Zitierlink:

http://hdl.handle.net/20.500.12708/19083
https://doi.org/10.34726/wim.1928

Titel:

Gaussian Process Regression for Airborne Laser Scanning Based Forest Inventory: Validation and Parameter Selection

Zitat:

Varvia, P., Räty, J., Korhonen, L., & Packalen, P. (2021). Gaussian Process Regression for Airborne Laser Scanning Based Forest Inventory: Validation and Parameter Selection. In Proceedings of the SilviLaser Conference 2021 (pp. 98–100). https://doi.org/10.34726/wim.1928

reposiTUm-DOI:

10.34726/wim.1928

CatalogPlus:

AC17205327

Publikationstyp:

Konferenzbeitrag - Full-Paper Contribution

Sprache:

Englisch

Autor_innen:

Varvia, Petri
Räty, Janne
Korhonen, Lauri
Packalen, Petteri

Organisationseinheit:

E120-07 - Forschungsbereich Photogrammetrie