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  4. Building detection and regularisation using DSM and imagery information
 
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2019
Zeitschriftenaufsatz
Titel

Building detection and regularisation using DSM and imagery information

Abstract
An automatic method for the regularisation of building outlines is presented, utilising a combination of data- and model-driven approaches to provide a robust solution. The core part of the method includes a novel data-driven approach to generate approximate building polygons from a list of given boundary points. The algorithm iteratively calculates and stores likelihood values between an arbitrary starting boundary point and each of the following boundary points using a function derived from the geometrical properties of a building. As a preprocessing step, building segments have to be identified using a robust algorithm for the extraction of a digital elevation model. Evaluation results on a challenging dataset achieved an average correctness of 96 center dot 3% and 95 center dot 7% for building detection and regularisation, respectively.
Author(s)
Mousa, Y.A.
Curtin University, Perth
Helmholz, Petra
Curtin University, Perth
Belton, David
Curtin University, Perth
Bulatov, Dimitri
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Zeitschrift
Photogrammetric record
Thumbnail Image
DOI
10.1111/phor.12275
Language
Englisch
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IOSB
Tags
  • building detection

  • DEM extraction

  • digital surface model...

  • polygonal simplificat...

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