Comprehensive approach for building outline extraction from LiDAR data with accent to a sparse laser scanning point cloud
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Comprehensive approach for building outline extraction from LiDAR data with accent to a sparse laser scanning point cloud
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Geoinformatics FCE CTU
ISSN
1802-2669
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
12
Pages from-to
91-102
UT code for WoS article
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EID of the result in the Scopus database
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