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Reprocessing Close Range Terrestrial and UAV Photogrammetric Projects with the DBAT Toolbox for Independent Verification and Quality Control
INSA Strasbourg, France. (ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group)
INSA Strasbourg, France. (ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group)
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-7657-6917
2017 (English)In: LowCost 3D – Sensors, Algorithms, Applications: 5th International Workshop / [ed] T. P. Kersten, F. Remondino, 2017, Vol. XLII-2/W8, p. 171-177Conference paper, Published paper (Refereed)
Abstract [en]

Photogrammetry has recently seen a rapid increase in many applications, thanks to developments in computing power and algorithms. Furthermore with the democratisation of UAVs (Unmanned Aerial Vehicles), close range photogrammetry has seen more and more use due to the easier capability to acquire aerial close range images. In terms of photogrammetric processing, many commercial software solutions exist in the market that offer results from user-friendly environments. However, in most commercial solutions, a black-box approach to photogrammetric calculations is often used. This is understandable in light of the proprietary nature of the algorithms, but it may pose a problem if the results need to be validated in an independent manner. In this paper, the Damped Bundle Adjustment Toolbox (DBAT) developed for Matlab was used to reprocess some photogrammetric projects that were processed using the commercial software Agisoft Photoscan. Several scenarios were experimented on in order to see the performance of DBAT in reprocessing terrestrial and UAV close range photogrammetric projects in several configurations of self-calibration setting. Results show that DBAT managed to reprocess PS projects and generate metrics which can be useful for project verification.

Place, publisher, year, edition, pages
2017. Vol. XLII-2/W8, p. 171-177
Series
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750, E-ISSN 2194-9034
Keywords [en]
close range, UAV, bundle adjustment, quality control, photogrammetry, software, DBAT
National Category
Computational Mathematics Probability Theory and Statistics
Research subject
Computer and Information Science; Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-142206DOI: 10.5194/isprs-archives-XLII-2-W8-171-2017OAI: oai:DiVA.org:umu-142206DiVA, id: diva2:1160218
Conference
LowCost 3D 2017, Hamburg, Germany, 28-29 November 2017
Available from: 2017-11-24 Created: 2017-11-24 Last updated: 2018-06-09Bibliographically approved

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