Assessment of LiDAR ground filtering algorithms for determining ground surface of non-natural terrain overgrown with forest and steppe vegetation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82145" target="_blank" >RIV/60460709:41330/20:82145 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21110/20:00334691

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S0263224119309133" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0263224119309133</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.measurement.2019.107047" target="_blank" >10.1016/j.measurement.2019.107047</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessment of LiDAR ground filtering algorithms for determining ground surface of non-natural terrain overgrown with forest and steppe vegetation

Popis výsledku v původním jazyce

Ground filtering is an inevitable step of processing the Light detection and ranging-acquired point clouds. Our objective was to evaluate the performance of six filtering algorithms. The point clouds filtering and vertical accuracy were evaluated qualitatively, quantitatively and by comparison with a GNSS survey. All tested algorithms achieved good results but their performance was affected by the terrain slope and vegetation cover. Algorithms performed better in forests than in steppes with a high density of low vegetation. The performance of all algorithms decreased with slopes over 15 degrees. Our results show that some algorithms tended to cause Type I error while others tended more to the Type II error. Furthermore, for some algorithms this tendency depended on the vegetation and terrain character. The Progressive Triangulated Irregular Network algorithm provided overall well-balanced results in all environments. We propose that software developers should provide users with recommendations of op

Název v anglickém jazyce

Assessment of LiDAR ground filtering algorithms for determining ground surface of non-natural terrain overgrown with forest and steppe vegetation

Popis výsledku anglicky

Ground filtering is an inevitable step of processing the Light detection and ranging-acquired point clouds. Our objective was to evaluate the performance of six filtering algorithms. The point clouds filtering and vertical accuracy were evaluated qualitatively, quantitatively and by comparison with a GNSS survey. All tested algorithms achieved good results but their performance was affected by the terrain slope and vegetation cover. Algorithms performed better in forests than in steppes with a high density of low vegetation. The performance of all algorithms decreased with slopes over 15 degrees. Our results show that some algorithms tended to cause Type I error while others tended more to the Type II error. Furthermore, for some algorithms this tendency depended on the vegetation and terrain character. The Progressive Triangulated Irregular Network algorithm provided overall well-balanced results in all environments. We propose that software developers should provide users with recommendations of op

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

<a href="/cs/project/GJ17-17156Y" target="_blank" >GJ17-17156Y: Spojení LiDARu a multispektrálních dat z UAV pro posouzení fyziografické diverzity posttěžebních lokalit</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

MEASUREMENT

ISSN

0263-2241

e-ISSN

1873-412X

Svazek periodika

150

Číslo periodika v rámci svazku

107047

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

000490985600017

EID výsledku v databázi Scopus

2-s2.0-85072581855