Work

3D Semantic Segmentation of Airborne & UAV LiDAR Point Clouds for Precise Tree Counting: a Machine Learning Approach

Year: 2025

Type: conference-paper

Source: International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

DOI: 10.1109/iraset64571.2025.11008082

Authors: Nada Hamdani, Imane Sebari, Kenza Ait El Kadi

Institution: Institut Agronomique et Vétérinaire Hassan II

Language: English

Topic: Remote Sensing and LiDAR Applications

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: closed

OpenAlex ID: W4410738205

FWCI: 6.717

Cites: 12

Cited by: 2

Related to: 10