Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data

Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data

Tree species characterise biodiversity, health, economic potential, and resilience of an ecosystem, for example. Tree species classification based on remote sensing data, however, is known to be a challenging task. In this paper, we study for the first time the feasibility of tree species classifica...

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Bibliographic Details
Main Authors: Aada Hakula, Lassi Ruoppa, Matti Lehtomäki, Xiaowei Yu, Antero Kukko, Harri Kaartinen, Josef Taher, Leena Matikainen, Eric Hyyppä, Ville Luoma, Markus Holopainen, Ville Kankare, Juha Hyyppä
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
Point cloud
Intensity
Reflectance
Mobile laser scanning
Lidar
Airborne laser scanning
Online Access:http://www.sciencedirect.com/science/article/pii/S2667393223000108

Internet

http://www.sciencedirect.com/science/article/pii/S2667393223000108

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