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Remote Sens. 2017, 9(3), 282;

Geometric Refinement of ALS-Data Derived Building Models Using Monoscopic Aerial Images

Institute of Geodesy and Geoinformatics, Wroclaw University of Environental and Life Science, 50-375 Wrocław, Poland
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01069 Dresden, Germany
Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, 10623 Berlin, Germany
Author to whom correspondence should be addressed.
Received: 28 December 2016 / Revised: 9 March 2017 / Accepted: 12 March 2017 / Published: 16 March 2017
PDF [5806 KB, uploaded 17 March 2017]


Airborne laser scanning (ALS) has proven to be a strong basis for 3D building reconstruction. While ALS data allows for a highly automated processing workflow, a major drawback is often in the point spacing. As a consequence, the precision of roof plane and ridge line parameters is usually significantly better than the precision of gutter lines. To cope with this problem, the paper presents an approach for geometric refinement of building models reconstructed from ALS data using monoscopic aerial images. The core idea of the proposed modeling method is to obtain refined roof edges by intersecting roof planes accurately and reliably extracted from 3D point clouds with viewing planes assigned with building edges detected in a high resolution aerial image. In order to minimize ambiguities that may arise during the integration of modeling cues, the ALS data is used as the master providing initial information about building shape and topology. We evaluate the performance of our algorithm by comparing the results of 3D reconstruction executed using only laser scanning data and reconstruction enhanced by image information. The assessment performed within a framework of the International Society for Photogrammetry and Remote Sensing (ISPRS) benchmark shows an increase in the final quality indicator up to 8.7%. View Full-Text
Keywords: building reconstruction; 3D modeling; laser scanning; aerial imagery; edge matching building reconstruction; 3D modeling; laser scanning; aerial imagery; edge matching

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Jarząbek-Rychard, M.; Maas, H.-G. Geometric Refinement of ALS-Data Derived Building Models Using Monoscopic Aerial Images. Remote Sens. 2017, 9, 282.

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