APPLICATION OF PYTHON FOR GENERATING A POINT CLOUD REPLACING THE ORTHOPHOTO PLAN BASED ON GEODETIC DATA OF THE MIKASHEVICHI GRANITE QUARRY
Article Sidebar
Main Article Content
Abstract
The article is devoted to the analysis of working with the software product TIM CREDO Mine Surveying using data from the Mikashevichi granite quarry. The study examines the process of data processing using point clouds, format conversion, and data densification through Python scripts. The results of quarry surface modeling and its comparison with contour lines obtained from the GIS software Surfer are presented. The proposed data processing improvement methods have increased modeling accuracy and reduced data processing costs.
Downloads
Article Details
Issue
Section
This work is licensed under a Creative Commons Attribution 4.0 International License.
Public License Terms
(For Open Journal Systems (OJS))
-
Copyright:
The copyright of the published article remains with the author(s). However, after publication, the article is distributed on the OJS platform under the Creative Commons (CC BY) license. -
License Type:
This article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means users can utilize the article under the following conditions:- Copy and distribute: The text of the article or its parts can be freely distributed.
- Quote and analyze: Parts of the article can be used for quoting and analysis.
- Free use: The article can be freely used for research and educational purposes.
- Attribution: Users must provide proper attribution and reference to the original source.
-
Commercial use:
The article can be used for commercial purposes, provided that authorship and source are properly cited. -
Document modification:
The text or content of the article can be modified or adapted, as long as it does not harm the authorship. -
Liability disclaimer:
The author(s) are responsible for the accuracy of the information contained in the article. The editorial team of the platform is not liable for any damages resulting from the use of this information. -
Public usage obligations:
The content of the article must be used only in accordance with legal and ethical standards. Unauthorized use is strictly prohibited.
Note:
These license terms are designed to ensure transparency and openness in material usage. By accepting these terms, you agree to the adaptation and distribution of the article content under the terms of the Creative Commons license.
Link: Creative Commons Attribution 4.0 International (CC BY 4.0)
How to Cite
References
[1] ТИМ КРЕДО. (n.d.). Маркшейдерия: Руководство пользователя.
[2] Kim, D., Ga, W., Ahn, P., Joo, D., Chun, S., & Kim, J. (2022). Global-local path networks for monocular depth estimation with vertical CutDepth.
[3] Zhou, Q., Park, J., & Koltun, V. (2018). Open3D: A modern library for 3D data processing.