Abstract

Point clouds are among the most important photogrammetry and remote sensing data that provide three-dimensional information about objects and features. These points have unorganized, irregular structures and do not have uniform spacing. In this paper, two innovative methods for converting the point cloud into a grid are presented. The first method is called the mesh method. It generates all possible 3D grid points covering the point cloud. Then, the distances between the generated grid points and the original points are measured. Based on these distances, the required grid points are determined. The second method is the resampling method. It uses three equations to resample the original point so that the points are moved to new coordinates to create the grid points. The methods are tested on three different point clouds. The results show that the two methods are very fast. However, the resampling method is much faster, especially for very large areas.

Details

Title
NEW AND RAPID METHODS FOR GRIDDING OF POINT CLOUDS
Author
Mahphood, A 1   VIAFID ORCID Logo  ; Arefi, H 2 

1  School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran; School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran; Faculty of Surveying and Geomatic Engineering, Tishreen University, Latakia, Syria 
2  School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran; School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran; i3mainz – Institute for Spatial Information and Surveying Technology, Mainz University of Applied Sciences, Germany 
Pages
437-442
Publication year
2023
Publication date
2023
Publisher
Copernicus GmbH
ISSN
21949042
e-ISSN
21949050
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.5194/isprs-annals-X-4-W1-2022-437-2023
ProQuest document ID
2765322474
Copyright
© 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.