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Norbert Pfeifer
Researcher at Vienna University of Technology
Publications - 281
Citations - 10086
Norbert Pfeifer is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Point cloud & Lidar. The author has an hindex of 49, co-authored 249 publications receiving 8855 citations. Previous affiliations of Norbert Pfeifer include University of Vienna & University of Innsbruck.
Papers
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Journal ArticleDOI
Determination of terrain models in wooded areas with airborne laser scanner data
K. Kraus,Norbert Pfeifer +1 more
TL;DR: In this article, the characteristics of laser scanning are compared to photogrammetry with reference to a big pilot project and the results are in accordance with the expectations, however, the geomorphologic quality of the contours, computed from a terrain model derived from laser scanning, needs to be improved.
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Correction of laser scanning intensity data: Data and model-driven approaches
Bernhard Höfle,Norbert Pfeifer +1 more
TL;DR: In this paper, two different methods for correcting the laser scanning intensity data for known influences resulting in a value proportional to the reflectance of the scanned surface are presented, data-driven and model-driven correction.
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A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds
Peter Dorninger,Norbert Pfeifer +1 more
TL;DR: This article proposes a comprehensive approach for automated determination of 3D city models from airborne acquired point cloud data, based on the assumption that individual buildings can be modeled properly by a composition of a set of planar faces.
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A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning
TL;DR: A comparison of the evaluation techniques shows that they highlight different properties of the building detection results, and a comprehensive evaluation strategy involving quality metrics derived by different methods is proposed.
Journal ArticleDOI
Segmentation of airborne laser scanning data using a slope adaptive neighborhood
Sagi Filin,Norbert Pfeifer +1 more
TL;DR: In this article, the segmentation of airborne laser scanning data is based on cluster analysis in a feature space, and a recently proposed neighborhood system, called slope adaptive, is utilized to improve the quality of the computed attributes.