notesum.ai

Published at December 6

PCTreeS: 3D Point Cloud Tree Species Classification Using Airborne LiDAR Images

cs.CV

cs.AI

Released Date: December 6, 2024

Authors: Hongjin Lin¹, Matthew Nazari¹, Derek Zheng¹

Aff.: ¹Harvard University

Arxiv: http://arxiv.org/pdf/2412.04714v1

Refer to caption

	LiDAR	Biome	Samples	Classes	Method
Zou et al. 2017	Terrestrial	Chinese Plantation Forest	$\sim$ 40,000	8	2D Deep Learning
Xi et al. 2020	Terrestrial	Canadian, Finnish Woodland	771	9	2D Deep Learning
Terryn et al. 2020	Terrestrial	UK Woodland	758	5	Support Vector Machines
Seidel et al. 2021	Terrestrial	German, US Woodland	690	8	2D Deep Learning
Allen et al. 2022	Terrestrial	Spanish woodland	2,478	5	2D Deep Learning
Budei et al. 2018	Airborne	Canadian Plantation Forests	1,658	10	Random Forests
Hamraz et al. 2019	Airborne	US Robinson Forest	3,987	2	2D Deep Learning
Mäyrä et al. 2021	Airborne	Finnish Southern Boreal Forests	2,826	4	2D and 3D Deep Learning
Hell et al. 2022	Airborne	Bavarian Forest National Park	2,721	4	2D and 3D Deep Learning
This paper	Airborne	Kenyan Tropical Savanna	$\sim$ 4,000	6	3D Vision Transformer