Geometric Contrast of a 3D Model Obtained by Means of Digital Photogrametry with a Quasimetric Camera on UAV Classical Methods
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Geometric Contrast of a 3D Model Obtained by Means of Digital Photogrametry with a Quasimetric Camera on UAV Classical Methods

Authors: Julio Manuel de Luis Ruiz, Javier Sedano Cibrián, Rubén Pérez Álvarez, Raúl Pereda García, Cristina Diego Soroa

Abstract:

Nowadays, the use of drones has been extended to practically any human activity. One of the main applications is focused on the surveying field. In this regard, software programs that process the images captured by the sensor from the drone in an almost automatic way have been developed and commercialized, but they only allow contrasting the results through control points. This work proposes the contrast of a 3D model obtained from a flight developed by a drone and a non-metric camera (due to its low cost), with a second model that is obtained by means of the historically-endorsed classical methods. In addition to this, the contrast is developed over a certain territory with a significant unevenness, so as to test the model generated with photogrammetry, and considering that photogrammetry with drones finds more difficulties in terms of accuracy in this kind of situations. Distances, heights, surfaces and volumes are measured on the basis of the 3D models generated, and the results are contrasted. The differences are about 0.2% for the measurement of distances and heights, 0.3% for surfaces and 0.6% when measuring volumes. Although they are not important, they do not meet the order of magnitude that is presented by salespeople.

Keywords: Accuracy, classical topographic, 3D model, photogrammetry, UAV.

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[1] I. Colomina, P. Molina, “Unmanned aerial systems for photogrammetry and remote sensing: A review”. ISPRS Journal of Photogrammetry and Remote Sensing. 2014. vol 92. pp79-97.
[2] M. Baeumker, H. Przybilla, “Investigations on the accuracy of the navigation data of unmanned aerial vehicles using the example of the system mikrokopter”. International conference on unmanned aerial Vehicle in Geomatics (UAV-G). Book series: international archives of the photogrammetry Remote Sensing and Spatial Information Sciences, 2011, vol. 38-1, pp 113-118.
[3] A.J. Puppala, C.L. Lundberg, “Total system error analysis of UAV-CRP technology for monitoring transportation infrastructure assets”. Engineering Geology, 2018, vol 247, pp 104-116.
[4] Guo. Nan, Li. Yongbin, “The Accuracy of Low-Altitude Photogrammetry of Drones”. International Journal of Pattern Recognition and Artificial Intelligence, 2020, vol 34, Issue 8.
[5] Sadeq. Haval A, “Accuracy assessment using different UAV image overlaps”. Journal of unmanned vehicle systems, 2019, vol 7, Issue 3, pp 175-193.
[6] A. Saiful, R. Jesper, N. Jon, et al, “Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)”. Precision agriculture, 2019, vol. 20, Issue 6, pp 1199-1210.
[7] J. Marion, P. Sophie, L. B. Rejanne, et al, “Assessing the Accuracy of High Resolution Digital Surface Models Computed by PhotoScan and MicMac in Sub-Optimal Survey Conditions”. Remote Sensing, 2016, vol. 8, issue 6.
[8] L. Jaeone, “Analysis of 3D Positioning Accuracy of Vectorization Using UAV-Photogrammetry”. Survey geodesy, fhotogrammetry and cartography, 2019, vol. 37, issue 6, pp 525-533.
[9] Battulwar, R., Winkelmaier, G., Valencia, J., Naghadehi, M. Z., Peik, B., Abbasi, B., Parvin, B., & Sattarvand, J. (2020). A practical methodology for generating high-resolution 3D models of open-pit slopes using UAVs: Flight path planning and optimization. Remote Sensing, 12(14). https://doi.org/10.3390/rs12142283
[10] El-Din Fawzy, H. (2019). 3D laser scanning and close-range photogrammetry for buildings documentation: A hybrid technique towards a better accuracy. Alexandria Engineering Journal, 58(4), 1191–1204. https://doi.org/10.1016/j.aej.2019.10.003
[11] Carrera-Hernández, J. J., Levresse, G., & Lacan, P. (2020). Is UAV-SfM surveying ready to replace traditional surveying techniques? International Journal of Remote Sensing, 41(12), 4818–4835. https://doi.org/10.1080/01431161.2020.1727049
[12] Mill, T., Alt, A., & Liias, R. (2013). Combined 3D building surveying techniques-Terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes. Journal of Civil Engineering and Management, 19(SUPPL.1), 23–32. https://doi.org/10.3846/13923730.2013.795187
[13] Pepe, M., & Costantino, D. (2021). Uav photogrammetry and 3d modelling of complex architecture for maintenance purposes: The case study of the masonry bridge on the sele river, italy. Periodica Polytechnica Civil Engineering, 65(1), 191–203. https://doi.org/10.3311/PPci.16398
[14] De Luis Ruiz, J. M. de, Sedano Cibrián, J., Pereda García, R., Pérez Álvarez, R., & Malagón Picón, B. (2021). Optimization of Photogrammetric Flights with UAVs for the Metric Virtualization of Archaeological Sites. Application to Juliobriga (Cantabria, Spain). Applied Sciences, 11(3), 1204. https://doi.org/10.3390/app11031204
[15] N., Cramer, M., & Rothermel, M. (2013). Quality of 3D Point Clouds from Highly Overlapping Uav Imagery. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1/W2(September), 183–188. https://doi.org/10.5194/isprsarchives-xl-1-w2-183-2013
[16] Rakha, T., & Gorodetsky, A. (2018). Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones. Automation in Construction, 93(September), 252–264. https://doi.org/10.1016/j.autcon.2018.05.002