Structural and Geometrical Vegetation Filtering-Case Study on Mining Area Point Cloud Acquired by UAV Lidar

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F21%3A00356229" target="_blank" >RIV/68407700:21110/21:00356229 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.46544/AMS.v26i4.06" target="_blank" >https://doi.org/10.46544/AMS.v26i4.06</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.46544/AMS.v26i4.06" target="_blank" >10.46544/AMS.v26i4.06</a>

Result language

angličtina

Original language name

Structural and Geometrical Vegetation Filtering-Case Study on Mining Area Point Cloud Acquired by UAV Lidar

Original language description

Filtering vegetation in point clouds is one of the basic steps in processing the products of bulk data collection. Commonly used filtering methods have been developed for large areas, usually scanned from an aircraft at high altitude, where the point clouds are very poorly detailed, and the terrain is essentially flat. Nowadays, point clouds are generated not only by aerial and ground scanning but mainly by photogrammetry from UAVs and, more recently, by scanners mounted on UAVs. Various objects are measured, including anthropogenic objects, rugged areas with large elevations, rocks, pits, buildings, etc. Therefore, the aim of filtering is no longer to remove everything from the cloud except the ground surface but to remove vegetation as such and some unnecessary objects. In this task, the use of structure filters, which classify points based on the surrounding of each point in terms of its structure, seems to be advantageous. Since many different filtering algorithms have been developed and their behaviour is controlled by the parameters chosen, it is necessary to test suitable filters and their settings for each type of area. In this paper, selected freely available filtering methods based on a geometric approach are tested as a comparison to the CANUPO-based structure filter, which is the main object.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10500 - Earth and related environmental sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

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

Name of the periodical

Acta Montanistica Slovaca

ISSN

1335-1788

e-ISSN

—

Volume of the periodical

26

Issue of the periodical within the volume

4

Country of publishing house

SK - SLOVAKIA

Number of pages

14

Pages from-to

661-674

UT code for WoS article

000772347400006

EID of the result in the Scopus database

2-s2.0-85125480317