An Algorithm for Fitting Sphere Target of Terrestrial LiDAR
The sphere target played a vital role in terrestrial LiDAR applications, and solving its geometrical center based on point cloud was a widely concerned problem. In this study, we proposed a newly finite random search algorithm for sphere target fitting. Based on the point cloud data and the geometri...
Guardado en:
Autores principales: | Yintao Shi, Gang Zhao, Maomei Wang, Yi Xu, Dadong Zhu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3d69b9d47d3b42cabcf05ea104f5986f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Estimation of Maize Photosynthesis Traits Using Hyperspectral Lidar Backscattered Intensity
por: Kaiyi Bi, et al.
Publicado: (2021) -
Performance of Mobile LiDAR in Real Road Driving Conditions
por: Jisoo Kim, et al.
Publicado: (2021) -
PEMCNet: An Efficient Multi-Scale Point Feature Fusion Network for 3D LiDAR Point Cloud Classification
por: Genping Zhao, et al.
Publicado: (2021) -
Utilizing LiDAR data to map tree canopy for urban ecosystem extent and condition accounts in Oslo
por: Frank Hanssen, et al.
Publicado: (2021) -
Estimating Ground Elevation and Vegetation Characteristics in Coastal Salt Marshes Using UAV-Based LiDAR and Digital Aerial Photogrammetry
por: Daniele Pinton, et al.
Publicado: (2021)