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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.
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Total canopy transmittance estimated from small-footprint, full-waveform airborne LiDAR
Milutin Milenković,Wolfgang Wagner,Raphael Quast,Markus Hollaus,Camillo Ressl,Norbert Pfeifer +5 more
TL;DR: In this paper, the authors proposed a new method of estimating the total canopy transmittance considering only the energy of ground echoes, which does not require assumptions for the reflectance or absorption behavior of vegetation.
Automatic glacier surface analysis from airborne laser scanning
TL;DR: In this paper, the delineation of a glacier and the detection of crevasses within a glacier are automatically detected from Airborne Laser Scanning (ALS) data by setting up a classification of the elevation model into the classes glacier and non-glacier surface.
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Exponential Decomposition with Implicit Deconvolution of Lidar Backscatter from the Water Column
TL;DR: In this article, a model composed of segments of exponential functions, which is motivated by the physics of the backscatter process in the water column, and a record of the system waveform which is stored as part of the sensor's calibration data, is presented.
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Improving LiDAR classification accuracy by contextual label smoothing in post-processing
TL;DR: Most large, wrongly labeled regions are corrected by long-range interactions that are derived from the optimal graph, and misclassified regions that lack neighborhood communications in terms of correct labels are also corrected with the probabilistic label relaxation.
Journal ArticleDOI
Vertical vegetation structure analysis and hydraulic roughness determination using dense als point cloud data - a voxel based approach
Michael Vetter,Bernhard Höfle,Markus Hollaus,Christine Gschöpf,Gottfried Mandlburger,Norbert Pfeifer,Wolfgang Wagner +6 more
TL;DR: In this article, the complexity of the vertical vegetation structure, based on dense airborne laser scanning (ALS) point cloud data (25 echoes/m2 ), is analyzed to calculate vegetation roughness for hydraulic applications.