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THE ACCURACY OF DETERMINATION OF NATURAL STONE CRACKS PARAMETERS BASED ON TERRESTRIAL LASER SCANNING AND DENSE IMAGE MATCHING DATA

Volodymyr Levytskyi, Assist. Prof., Ruslan Sobolevskyi, Assoc. Prof.

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s10.031View metrics

Abstract

Using of photogrammetric methods on quarries of dimension stone for determining cracks parameters and stone block modeling is actual problem. The methodology of applying the modern digital cameras (SLR-type) and terrestrial laser scanning for surveying of mining objects (dimension stone blocks), reception of the information on a camp of rock mass, recognition of cracks in rock massif with following definition of their geometrical parameters, quality control of dimension stone blocks on quarry are considered. The main aim is developing of analysis technique of stone cracks which is basis for recognition of elements of photographs or scans and optimization of main parameters, which influence on quality of optical control of rock massif. The accuracy identification and measurement cracks parameters for methods creation of massif control are proved. Photogrammetric methods such us terrestrial laser scanning and dense image matching of measurement of cracks parameters on dimension stone quarries allowed to identify natural discontinuous in stone block with following calculation of their linear sizes. The dependence of accuracy of cracks width from distance surveying are investigated. Dense image matching data analysis and compare of results are made in the following application programs PhotoScan Pro, CloudCompare, LupoScan, Z+F LaserControl, ArcGIS.

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Publication details

Title
THE ACCURACY OF DETERMINATION OF NATURAL STONE CRACKS PARAMETERS BASED ON TERRESTRIAL LASER SCANNING AND DENSE IMAGE MATCHING DATA
Authors
Volodymyr Levytskyi, Assist. Prof., Ruslan Sobolevskyi, Assoc. Prof.
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
255-262
SWS Citekey
Levytskyi201710255262
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
dimension stoneimage processingcracksTLSquality control
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