Paper Info
Title
Ground Level Determination in Forested Environment With Utilization of a Scanner-Centered Terrestrial Laser Scanning Configuration
Abstract
Terrestrial laser scanning (TLS) configurations differ in several ways from airborne laser scanning (ALS) configurations. TLS point clouds have different distance, spatial, and noise distributions than ALS point clouds. Common ground-modeling methods have been first developed for ALS data and are not optimally suited for ground level determination from TLS data. In this letter, we present a ground point labeling method for TLS data. The method uses a priori information of the TLS configurations and scanner-centered coordinates to determine the ground level. The method is tested in a forested scanning scene with six individual TLS scans. The results are compared against ALS reference data. Different parameterizations showed up to 0.25-m bias-corrected root-mean-square deviation from the reference in 15-m range from the scanner, which is within expected variation.
Year
DOI
Venue
2015
10.1109/LGRS.2014.2353414
Geoscience and Remote Sensing Letters, IEEE  
Keywords
Field
DocType
geophysical techniques,remote sensing by laser beam,vegetation,als point clouds,als reference data,tls point clouds,airborne laser scanning configurations,bias-corrected root-mean-square deviation,forested environment,forested scanning scene,ground level determination,ground-modeling methods,scanner-centered terrestrial laser scanning configuration,digital elevation models,forestry,laser scanning,terrestrial,tin,estimation,remote sensing,noise
Reference data (financial markets),Laser scanning,A priori and a posteriori,Remote sensing,Optics,Scanner,Point cloud,Terrestrial laser scanning,Mathematics
Journal
Volume
Issue
ISSN
12
3
1545-598X
Citations 
PageRank 
References 
5
0.64
9
Authors
4
Name
Order
Citations
PageRank
Eetu Puttonen19714.85
Anssi Krooks211512.42
Harri Kaartinen360863.10
Sanna Kaasalainen424931.76