General External Uncertainty Models of Three-Plane Intersection Point for 3D Absolute Accuracy Assessment of Lidar Point Cloud
The traditional practice to assess accuracy in lidar data involves calculating RMSEz (root mean square error of the vertical component). Accuracy assessment of lidar point clouds in full 3D (three dimension) is not routinely performed. The main challenge in assessing accuracy in full 3D is how to id...
Main Authors: | Minsu Kim, Seonkyung Park, Jeffrey Danielson, Jeffrey Irwin, Gregory Stensaas, Jason Stoker, Joshua Nimetz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/23/2737 |
Similar Items
-
Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project
by: Minsu Kim, et al.
Published: (2020-06-01) -
Shiftable Leading Point Method for High Accuracy Registration of Airborne and Terrestrial LiDAR Data
by: Liang Cheng, et al.
Published: (2015-02-01) -
Accuracy assessment of LiDAR point cloud geo-referencing
by: Williams, Keith E.
Published: (2012) -
Pointing Verification Method for Spaceborne Lidars
by: Axel Amediek, et al.
Published: (2017-01-01) -
Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision
by: Xiaolu Li, et al.
Published: (2018-04-01)