Accuracy assessment of different photogrammetric software for processing data from low-cost UAV platforms in forest conditions

Brach, Michał; Chan, Jonathan Cheung-Wai; Szymanski, P.

doi:10.3832/ifor2986-012

Cited by 20 publications

(8 citation statements)

References 46 publications

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“…Finally, this systematic search limited itself to the accuracy of the photogrammetric scanners, it didn't consider the time it takes for a digital dental model to be generated. While unexpensive, photogrammetry does take a lot of computational power, and can get to be quite time consuming, depending greatly on the photogrammetric software chosen, 46,47 this too is something we would like to see evaluated in future research. clinical acceptable.…”

Section: Discussionmentioning

confidence: 99%

“…Stuani et al 34 used the limited free version of 3DF Zephyr, while Fu et al 35 reports to have used the open-source software Meshlab, but this is not a photogrammetric software, it's a mesh manipulation software 45 . The use of a particular photogrammetric software over other, can have a meaningful impact on the reported accuracy, as shown by the multiple studies comparing the effect on accuracy when using different photogrammetric softwares to process the same data sets 46,47 .…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Accuracy of photogrammetric technologies for the scanning of dental models: A systematic review

Vázquez

Valencia²,

Tolentino³

et al. 2022

Rev Estomatol

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Background: Traditional dental scanners require a heavy investment, representing a high barrier of entry into digital dentistry. Photogrammetric-based scanners may represent an affordable cost-effective alternative to traditional dental scanners used for the digitalization of plaster models. Photogrammetry is the science of extracting 3D information from photographs. The process involves taking overlapping photographs of an object or space and converting them into 2D or 3D digital models. Objective: This review aimed to identify and appraise the reported accuracy of photogrammetric-generated digital dental models. Materials and methods: A search strategy was applied in 3 databases (Medline, Web of Science and Scopus), from Feb 1 2021 to Dec 1 2021, the search was limited to articles in English published in the last 5 years about studies evaluating the dimensional accuracy of 3-dimensional digital models acquired by the scanning of plaster models with photogrammetric technologies. Results: Two independent reviewers screened 75 records on basis of titles and abstracts for assessment against the inclusion criteria for the review, 4 articles were deemed eligible, the risk of bias for the selected articles was measured, data extraction was performed by only one author. Conclusion: With today’s technology, based on the four studies evaluated, we conclude that photogrammetric-generated digital models while lacking accuracy for incorporation into the treatment flow, in the future it could be used for diagnostic, planning, and achieving.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Accuracy of photogrammetric technologies for the scanning of dental models: A systematic review

Vázquez

Valencia²,

Tolentino³

et al. 2022

Rev Estomatol

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“…The topic of optimisation of UAV data acquisition and processing is appearing with greater frequency in the literature. Issues related to the assessment of the accuracy of studies [12,28], EOP measurement method [29,30], UAV flight trajectory planning [31,32], GCPs measurement method and deployment [26,33] and the software or algorithms used [34,35] are analysed. Limitations in the use of drones make it an important issue for researchers to strive to fulfil the accuracy requirements for photogrammetric products, while minimising the time and cost of data acquisition and processing work.…”

Section: Optimisationmentioning

confidence: 99%

Optimising UAV Data Acquisition and Processing for Photogrammetry: A Review

Pargieła

2023

GaEE

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Unmanned aerial vehicles (UAVs) are used to acquire measurement data for an increasing number of applications. Photogrammetric studies based on UAV data, thanks to the significant development of computer vision techniques, photogrammetry, and equipment miniaturization, allow sufficient accuracy for many engineering and non-engineering applications to be achieved. In addition to accuracy, development time and cost of data acquisition and processing are also important issues. The aim of this paper is to present potential limitations in the use of UAVs to acquire measurement data and to present measurement and processing techniques affecting the optimisation of work both in terms of accuracy and economy. Issues related to the type of drones used (multi-rotor, fixed-wing), type of shutter in the camera (rolling shutter, global shutter ), camera calibration method (pre-calibration, self-calibration), georeferencing method (direct, indirect), technique of measuring the external images orientation parameters (RTK, PPK, PPP), flight design methods and the type of software used were analysed.

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“…While there have been some studies that have sought to compare the outputs provided by different photogrammetry software, they appear to have exclusively been conducted in the terrestrial environment, with a focus on forests [35,36], sandpits [37], agriculture [38,39], or urban environments [38]. Only Jiang et al [38] investigated the output of different software across different types of datasets (urban and agricultural).…”

Section: Introductionmentioning

confidence: 99%

Demystifying the Differences between Structure-from-MotionSoftware Packages for Pre-Processing Drone Data

Pell

Li²,

Joyce

2022

Drones

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With the increased availability of low-cost, off-the-shelf drone platforms, drone data become easy to capture and are now a key component of environmental assessments and monitoring. Once the data are collected, there are many structure-from-motion (SfM) photogrammetry software options available to pre-process the data into digital elevation models (DEMs) and orthomosaics for further environmental analysis. However, not all software packages are created equal, nor are their outputs. Here, we evaluated the workflows and output products of four desktop SfM packages (AgiSoft Metashape, Correlator3D, Pix4Dmapper, WebODM), across five input datasets representing various ecosystems. We considered the processing times, output file characteristics, colour representation of orthomosaics, geographic shift, visual artefacts, and digital surface model (DSM) elevation values. No single software package was determined the “winner” across all metrics, but we hope our results help others demystify the differences between the options, allowing users to make an informed decision about which software and parameters to select for their specific application. Our comparisons highlight some of the challenges that may arise when comparing datasets that have been processed using different parameters and different software packages, thus demonstrating a need to provide metadata associated with processing workflows.

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Accuracy assessment of different photogrammetric software for processing data from low-cost UAV platforms in forest conditions

Cited by 20 publications

References 46 publications

Accuracy of photogrammetric technologies for the scanning of dental models: A systematic review

Accuracy of photogrammetric technologies for the scanning of dental models: A systematic review

Optimising UAV Data Acquisition and Processing for Photogrammetry: A Review

Demystifying the Differences between Structure-from-MotionSoftware Packages for Pre-Processing Drone Data

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