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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

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database