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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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Airborne Laser Scanning for calibration and validation of inshore satellite altimetry: A proof of concept
TL;DR: In this article, the accuracy of LIDAR measurements was improved by strip adjustment and absolute georeferencing to ground control points; waveform retracking improved the accuracy and bias of altimetry data.
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Investigation on the automatic geo-referencing of archaeological UAV photographs by correlation with pre-existing ortho-photos
Wilfried Karel,Michael Doneus,Michael Doneus,Christian Briese,Geert Verhoeven,Geert Verhoeven,Norbert Pfeifer +6 more
TL;DR: In this article, a method for the automatic geo-referencing of archaeological photographs captured aboard UAVs is presented, by using pre-existing ortho-photo maps and digital surface models (DSMs).
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Automated Archiving of Archaeological Aerial Images
TL;DR: A new image archiving workflow is proposed based on the parameters that are logged by a commercial, but cost-effective GNSS/IMU solution and processed with in-house-developed software and allows one to automatically geolocate and rectify the (oblique) aerial images and to retrieve their footprints with reasonable accuracy, which is automatically stored as a vector file.
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Airborne laser scanning strip adjustment and automation of tie surface measurement
TL;DR: In this article, a method for segmenting the point cloud in the overlap is presented, which can be applied to height or full 3D strip adjustment and for approaches using the original measurements, the coordinates of the measured measurements, or only the offsets between surfaces.
Height texture of low vegetation in airborne laser scanner data and its potential for dtm correction
TL;DR: In this paper, the effect of low vegetation on laser scanning and its disturbing effect (a systematic positive height shift) during DTM generation is well recognized, and it appears difficult to separate the systematic shift from random measurement noise.