Comprehensive approach for building outline extraction from LiDAR data with accent to a sparse laser scanning point cloud

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10364370" target="_blank" >RIV/00216208:11310/17:10364370 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.14311/gi.16.1.6" target="_blank" >http://dx.doi.org/10.14311/gi.16.1.6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/gi.16.1.6" target="_blank" >10.14311/gi.16.1.6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comprehensive approach for building outline extraction from LiDAR data with accent to a sparse laser scanning point cloud

Popis výsledku v původním jazyce

The method of building outline extraction based on segmentation of airborne laser scanning data is proposed and tested on a dataset comprising 1,400 buildings typical for residential and industrial urban areas. The algorithm starts with setting a special threshold to separate roof points from bare earth points and low objects. Next, local planes are fitted to each point using RANSAC and further refined by least squares adjustment. A normal vector is assigned to each point. Similarities among normal vectors are evaluated in order to assemble planar or curved roof segments. Finally, building outlines are formed from detected segments using the α-shapes algorithm and further regularized. The extracted outlines were compared with reference polygons manually derived from the processed laser scanning point cloud and orthoimages. Area-based evaluation of accuracy of the proposed method revealed completeness and correctness of 87 % and 97 %, respectively, for the test dataset. The influence of parameters like number of points per roof segment, complexity of the roof structure, roof type, and overlap with vegetation on accuracy is evaluated and discussed.

Název v anglickém jazyce

Comprehensive approach for building outline extraction from LiDAR data with accent to a sparse laser scanning point cloud

Popis výsledku anglicky

The method of building outline extraction based on segmentation of airborne laser scanning data is proposed and tested on a dataset comprising 1,400 buildings typical for residential and industrial urban areas. The algorithm starts with setting a special threshold to separate roof points from bare earth points and low objects. Next, local planes are fitted to each point using RANSAC and further refined by least squares adjustment. A normal vector is assigned to each point. Similarities among normal vectors are evaluated in order to assemble planar or curved roof segments. Finally, building outlines are formed from detected segments using the α-shapes algorithm and further regularized. The extracted outlines were compared with reference polygons manually derived from the processed laser scanning point cloud and orthoimages. Area-based evaluation of accuracy of the proposed method revealed completeness and correctness of 87 % and 97 %, respectively, for the test dataset. The influence of parameters like number of points per roof segment, complexity of the roof structure, roof type, and overlap with vegetation on accuracy is evaluated and discussed.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10508 - Physical geography

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Geoinformatics FCE CTU

ISSN

1802-2669

e-ISSN

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Svazek periodika

16

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

12

Strana od-do

91-102

Kód UT WoS článku

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EID výsledku v databázi Scopus

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