Comparison of 2.5D Volume Calculation Methods and Software Solutions Using Point Clouds Scanned Before and After Mining

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00336913" target="_blank" >RIV/68407700:21110/19:00336913 - isvavai.cz</a>

Výsledek na webu

<a href="https://actamont.tuke.sk/pdf/2019/n4/2stroner.pdf" target="_blank" >https://actamont.tuke.sk/pdf/2019/n4/2stroner.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of 2.5D Volume Calculation Methods and Software Solutions Using Point Clouds Scanned Before and After Mining

Popis výsledku v původním jazyce

The development of contactless mass data collection methods such as laser scanning or digital photogrammetry lead to the development of a wide variety of algorithms and calculations that can be applied to such data. The volume calculation of material that was mined away is one of such applications. This paper compares available software solutions capable of calculating volume, namely commercially available programs Atlas DMT, 3D Reshaper, Leica Cyclone and Trimble RealWorks, and an open-source program CloudCompare. All of these are commonly applicable for general point cloud processing and volume calculation is just one of the functions offered by the programs. Two principal types of algorithms are used by those software solutions – grid-based algorithms and algorithms based on a triangular irregular network created from the point cloud. Some of the tested programs offer both calculation methods. The experimental testing of the accuracy of those programs was performed on real data from a quarry where laser scanning was used in combination with a GNSS method. The individual software solutions were used to calculate the scanned area, volume calculations using various settings and processing demands (expressed as processing time). Besides, the algorithms used in individual programs, their limitations and specific problems are discussed. Grid-based methods turned out to be very effective due to the low processing time and very good provided results even for relatively large grid cells. TIN-based methods on the other hand also provide very accurate results, the processing time is, however, substantially higher. In some cases, the quality of the results also depend on the algorithm constructing the triangular network itself.

Název v anglickém jazyce

Comparison of 2.5D Volume Calculation Methods and Software Solutions Using Point Clouds Scanned Before and After Mining

Popis výsledku anglicky

The development of contactless mass data collection methods such as laser scanning or digital photogrammetry lead to the development of a wide variety of algorithms and calculations that can be applied to such data. The volume calculation of material that was mined away is one of such applications. This paper compares available software solutions capable of calculating volume, namely commercially available programs Atlas DMT, 3D Reshaper, Leica Cyclone and Trimble RealWorks, and an open-source program CloudCompare. All of these are commonly applicable for general point cloud processing and volume calculation is just one of the functions offered by the programs. Two principal types of algorithms are used by those software solutions – grid-based algorithms and algorithms based on a triangular irregular network created from the point cloud. Some of the tested programs offer both calculation methods. The experimental testing of the accuracy of those programs was performed on real data from a quarry where laser scanning was used in combination with a GNSS method. The individual software solutions were used to calculate the scanned area, volume calculations using various settings and processing demands (expressed as processing time). Besides, the algorithms used in individual programs, their limitations and specific problems are discussed. Grid-based methods turned out to be very effective due to the low processing time and very good provided results even for relatively large grid cells. TIN-based methods on the other hand also provide very accurate results, the processing time is, however, substantially higher. In some cases, the quality of the results also depend on the algorithm constructing the triangular network itself.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10500 - Earth and related environmental sciences

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Montanistica Slovaca

ISSN

1335-1788

e-ISSN

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Svazek periodika

2019

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

11

Strana od-do

296-306

Kód UT WoS článku

000523652300002

EID výsledku v databázi Scopus

2-s2.0-85084210824