2 papers
cs.LG2018
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees
Hamid Hamraz, Nathan B. Jacobs, Marco A. Contreras +1
The purpose of this study was to investigate the use of deep learning for coniferous/deciduous classification of individual trees from airborne LiDAR data. To enable efficient proc…
cs.CV2017
Remote sensing of forests using discrete return airborne LiDAR
Hamid Hamraz, Marco A. Contreras
Airborne discrete return light detection and ranging (LiDAR) point clouds covering forested areas can be processed to segment individual trees and retrieve their morphological attr…