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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10500 - Earth and related environmental sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

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

—

Svazek periodika

26

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

14

Strana od-do

661-674

Kód UT WoS článku

000772347400006

EID výsledku v databázi Scopus

2-s2.0-85125480317