Error analysis on laser measurement device of airborne LIDAR

Laser measurement is currently applied to several tasks such as plumbing management, road investigation through mobile mapping systems, and elevation model utilization through airborne LiDAR. Effective laser measurement methods have been well-documented in civil engineering, but few attempts have been made to establish equally effective methods in landscape engineering. By using point cloud data acquired through laser measurement, the aesthetic landscaping of Japanese gardens can be enhanced. This study focuses on simple landscape simulations for pruning and rearranging trees as well as rearranging rocks, lanterns, and other garden features by using point cloud data. However, such simulations lack concreteness. Therefore, this study considers the construction of a library of garden features extracted from point cloud data. The library would serve as a resource for creating new gardens and simulating gardens prior to conducting repairs. Extracted garden features are imported as 3ds Max objects, and realistic 3D models are generated by using a material editor system. As further work toward the publication of a 3D model library, file formats for tree crowns and trunks should be adjusted. Moreover, reducing the size of created models is necessary. Models created using point cloud data are informative because simply shaped garden features such as trees are often seen in the 3D industry.

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Effect analysis of positioning model and boresight error analysis of airborne lidar bathymetry system

Infrared and Laser Engineering ◽

10.3788/irla201948.0606005 ◽

2019 ◽

Vol 48 (6) ◽

pp. 606005

Author(s):

俞家勇 Yu Jiayong ◽

卢秀山 Lu Xiushan ◽

田茂义 Tian Maoyi ◽

贺岩 He Yan ◽

吕德亮 Lv Deliang ◽

...

Keyword(s):

Error Analysis ◽

Airborne Lidar ◽

Effect Analysis ◽

Airborne Lidar Bathymetry ◽

Boresight Error

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Research on error analysis and correction of LEMP magnetic field measurement device

2013 IEEE 11th International Conference on Electronic Measurement & Instruments ◽

10.1109/icemi.2013.6743013 ◽

2013 ◽

Author(s):

Li Wan ◽

Zhou Bihua ◽

Ma Hongliang ◽

Fu Yapeng ◽

Wang Tao

Keyword(s):

Magnetic Field ◽

Error Analysis ◽

Field Measurement ◽

Magnetic Field Measurement ◽

Measurement Device

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Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project

Remote Sensing ◽

10.3390/rs12121974 ◽

2020 ◽

Vol 12 (12) ◽

pp. 1974 ◽

Cited By ~ 1

Author(s):

Minsu Kim ◽

Seonkyung Park ◽

Jeffrey Irwin ◽

Collin McCormick ◽

Jeffrey Danielson ◽

...

Keyword(s):

Error Analysis ◽

Point Cloud ◽

Accuracy Assessment ◽

Point Clouds ◽

Absolute Error ◽

Airborne Lidar ◽

Conjugate Points ◽

Geometric Feature ◽

Intersection Points ◽

The U.S

The Leica Geosystems CountryMapper hybrid system has the potential to collect data that satisfy the U.S. Geological Survey (USGS) National Geospatial Program (NGP) and 3D Elevation Program (3DEP) and the U.S. Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) requirements in a single collection. This research will help 3DEP determine if this sensor has the potential to meet current and future 3DEP topographic lidar collection requirements. We performed an accuracy analysis and assessment on the lidar point cloud produced from CountryMapper. The boresighting calibration and co-registration by georeferencing correction based on ground control points are assumed to be performed by the data provider. The scope of the accuracy assessment is to apply the following variety of ways to measure the accuracy of the delivered point cloud to obtain the error statistics. Intraswath uncertainty from a flat surface was computed to evaluate the point cloud precision. Intraswath difference between opposite scan directions and the interswath overlap difference were evaluated to find boresighting or any systematic errors. Absolute vertical accuracy over vegetated and non-vegetated areas were also assessed. Both horizontal and vertical absolute errors were assessed using the 3D absolute error analysis methodology of comparing conjugate points derived from geometric features. A three-plane feature makes a single unique intersection point. Intersection points were computed from ground-based lidar and airborne lidar point clouds for comparison. The difference between two intersection points form one error vector. The geometric feature-based error analysis was applied to intraswath, interswath, and absolute error analysis. The CountryMapper pilot data appear to satisfy the accuracy requirements suggested by the USGS lidar specification, based upon the error analysis results. The focus of this research was to demonstrate various conventional accuracy measures and novel 3D accuracy techniques using two different error computation methods on the CountryMapper airborne lidar point cloud.

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3D MODELING OF COMPONENTS OF A GARDEN BY USING POINT CLOUD DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b5-305-2016 ◽

2016 ◽

Vol XLI-B5 ◽

pp. 305-309

Author(s):

R. Kumazakia ◽

Y. Kunii

Keyword(s):

Point Cloud ◽

3D Models ◽

Airborne Lidar ◽

Point Cloud Data ◽

Laser Measurement ◽

Cloud Data ◽

Model Library ◽

Japanese Gardens ◽

The Aesthetic ◽

Elevation Model

Laser measurement is currently applied to several tasks such as plumbing management, road investigation through mobile mapping systems, and elevation model utilization through airborne LiDAR. Effective laser measurement methods have been well-documented in civil engineering, but few attempts have been made to establish equally effective methods in landscape engineering. By using point cloud data acquired through laser measurement, the aesthetic landscaping of Japanese gardens can be enhanced. This study focuses on simple landscape simulations for pruning and rearranging trees as well as rearranging rocks, lanterns, and other garden features by using point cloud data. However, such simulations lack concreteness. Therefore, this study considers the construction of a library of garden features extracted from point cloud data. The library would serve as a resource for creating new gardens and simulating gardens prior to conducting repairs. Extracted garden features are imported as 3ds Max objects, and realistic 3D models are generated by using a material editor system. As further work toward the publication of a 3D model library, file formats for tree crowns and trunks should be adjusted. Moreover, reducing the size of created models is necessary. Models created using point cloud data are informative because simply shaped garden features such as trees are often seen in the 3D industry.

Download Full-text