Evaluation of UAS Flight Configuration Factors and Their Impacts on Photogrammetric Survey Accuracy
Recent advances in computer vision and camera-equipped unmanned aerial systems (UASs) for 3D modeling enabled UAS-based surveys with high spatial–temporal resolutions. Although there have been many studies on various factors that affect the accuracy of UAS-based photogrammetry-based geospatial data, there is little to no quantitative method that identifies the relationships between flight configuration factors and point cloud accuracy. This paper seeks to assess the degrees of influences that these factors affect accuracy. This study assesses five impact factors using the ANOVA method to understand which factors have higher or lower impacts on the accuracy. The influence factors include flight height, average image quality, image overlap, ground control point (GCP) quantities, and focal lengths of cameras. The results show that the number of GCPs has the largest impact on the vertical and horizontal accuracies than other impact factors. The findings of this study can help surveyors better design flight configurations given different site conditions and constraints.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483961
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Supplemental Notes:
- © 2022 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Liu, Yajie
- Han, Kevin
- Rasdorf, William
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Conference:
- Construction Research Congress 2022
- Location: Arlington Virginia, United States
- Date: 2022-3-9 to 2022-3-12
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 225-234
- Monograph Title: Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics
Subject/Index Terms
- TRT Terms: Construction; Drones; Geospatial data; Photogrammetry; Surveying
- Subject Areas: Administration and Management; Aviation; Construction;
Filing Info
- Accession Number: 01842224
- Record Type: Publication
- ISBN: 9780784483961
- Files: TRIS, ASCE
- Created Date: Apr 12 2022 10:05AM