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Anette Eltner

Researcher at Dresden University of Technology

Publications -  63
Citations -  1881

Anette Eltner is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Computer science & Photogrammetry. The author has an hindex of 16, co-authored 42 publications receiving 1323 citations.

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Image-based surface reconstruction in geomorphometry - merits, limits and developments

TL;DR: In this article, the authors present a review of the state of the art on using Structure-from-Motion (SfM) workflows in geomorphometry and give an overview of terms and fields of application.
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Multi‐temporal UAV data for automatic measurement of rill and interrill erosion on loess soil

TL;DR: In this paper, high-resolution aerial imagery acquired by an UAV is used to automatically generate precise digital surface models (DSMs) of high spatial resolution by applying structure-from-motion image processing tools.
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Guidelines on the use of Structure from Motion Photogrammetry in Geomorphic Research

TL;DR: In this paper, a robust survey and reporting of structure-from-motion (SfM) photogrammetry results is proposed, which is supported by appropriate survey design, applying suitable statistics to identify systematic error (bias) and to estimate precision within results, and propagating uncertainty estimates into the final data products.
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Measuring gullies by synergetic application of UAV and close range photogrammetry - A case study from Andalusia, Spain

TL;DR: In this paper, an approach for the synergetic utilisation of UAV and terrestrial images for high resolution 3D model generation is introduced, where terrestrial images can be acquired spontaneously and flexibly depending on the encountered terrain conditions to supplement UAV data.
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Analysis of Different Methods for 3D Reconstruction of Natural Surfaces from Parallel-Axes UAV Images

TL;DR: A comparison between DEMs of a soil surface generated from UAV images and terrestrial laser-scanning data show that natural surfaces can be very accurately reconstructed from Uav images, even when GCPs are missing and simple geometric camera models are considered.