Short Communication: A simple workflow for robust low-cost UAV-derived change detection without ground control points
<p>High-quality 3-D point clouds generated from repeat camera-equipped unmanned aerial vehicle (UAV) surveys are increasingly being used to investigate landscape changes and geomorphic processes. Point cloud quality can be expressed as accuracy in a comparative (i.e., from survey to survey) an...
| الحاوية / القاعدة: | Earth Surface Dynamics |
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| المؤلفون الرئيسيون: | , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Copernicus Publications
2019-10-01
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| الوصول للمادة أونلاين: | https://www.earth-surf-dynam.net/7/1009/2019/esurf-7-1009-2019.pdf |
| الملخص: | <p>High-quality 3-D point clouds generated from repeat camera-equipped
unmanned aerial vehicle (UAV) surveys are increasingly being used to
investigate landscape changes and geomorphic processes. Point cloud quality
can be expressed as accuracy in a comparative (i.e., from survey to survey)
and absolute (between survey and an external reference system) sense. Here
we present a simple workflow for calculating pairs or sets of point clouds
with a high comparative accuracy, without the need for ground control points
or a differential GNSS (dGNSS)-equipped UAV. The method is based on the automated detection of
common tie points in stable portions of the survey area. We demonstrate the
efficacy of the new approach using a consumer-grade UAV in two contrasting
landscapes: the coastal cliffs on the island of Rügen, Germany, and the
tectonically active Daan River gorge in Taiwan. Compared to a standard
approach using ground control points, our workflow results in a nearly
identical distribution of measured changes. Compared to a standard approach
without ground control, our workflow reduces the level of change detection
from several meters to 10–15 cm. This approach enables robust change
detection using UAVs in settings where ground control is not feasible.</p> |
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| تدمد: | 2196-6311 2196-632X |