Experimental Verification of the Influence of the Quality of Input Images on the Processing of the Photogrammetric Model
DOI:
https://doi.org/10.14311/CEJ.2025.02.0017Keywords:
Photogrammetry, Image quality, Alignment, Dense point cloudAbstract
Photogrammetric acquisition and subsequent data processing has become increasingly common in recent years. However, this method of documentation is affected by many circumstances that can negatively influence the results. This paper is devoted to the experimental determination of the influence of the quality of input images on the processing of a photogrammetric model, because the quality of input images is essential for the accuracy of the final product and can be influenced by various factors. The effect of different image quality on the ability of software to align these images and on the accuracy of this alignment and subsequent processing of was tested practically in this case. Three specific interior surfaces and three specific exterior surfaces were used for the experiment, each of which was photographed in four series - one series was taken with high quality images, while the remaining three were specifically degraded in quality. Three photogrammetric software, Agisoft Metashape Professional, iTwin Capture Modeler and Pix4Dmapper, were selected for processing. In all software, all acquired series were processed and the ability to perform image orientation and the subsequent quality of this orientation was mainly monitored, where reprojection error was the main criterion. In the case of successfully aligned series, a dense point cloud was produced, which was also subjected to analysis. Based on these results, appropriate procedures for photogrammetric processing were determined when conditions that may negatively affect image quality are known in advance.
Downloads
References
MATOUŠKOVÁ, Eva; PAVELKA, Karel; SMOLÍK, Tobiáš a PAVELKA, Karel. Earthen Jewish Architecture of Southern Morocco: Documentation of Unfired Brick Synagogues and Mellahs in the Drâa-Tafilalet Region. Online. Applied Sciences. 2021, roč. 11, č. 4. ISSN 2076-3417. Dostupné z: https://doi.org/10.3390/app11041712. [cit. 2025-01-07].
ŠEDINA, Jaroslav; HŮLKOVÁ, Martina; PAVELKA, Karel a PAVELKA, JR, Karel. RPAS for documentation of Nazca aqueducts. Online. European Journal of Remote Sensing. 2019, roč. 52, č. sup1, s. 174-181. ISSN 2279-7254. Dostupné z: https://doi.org/10.1080/22797254.2018.1537684. [cit. 2025-01-09].
Jon, J., Koska, B. and Pospíšil, J. (2013) AUTONOMOUS AIRSHIP EQUIPPED BY MULTI-SENSOR MAPPING PLATFORM, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W1, pp. 119-124. doi: 10.5194/isprsarchives-xl-5-w1-119-2013. [cit. 2025-01-09].
KOVANIČ, Ľudovít; ŠTRONER, Martin; URBAN, Rudolf a BLIŠŤAN, Peter. Methodology and Results of Staged UAS Photogrammetric Rockslide Monitoring in the Alpine Terrain in High Tatras, Slovakia, after the Hydrological Event in 2022. Online. Land. 2023, roč. 12, č. 5. ISSN 2073-445X. Dostupné z: https://doi.org/10.3390/land12050977. [cit. 2025-01-07].
Žabota, B. and Kobal, M. (2021) Accuracy Assessment of UAV-Photogrammetric-Derived Products Using PPK and GCPs in Challenging Terrains: In Search of Optimized Rockfall Mapping, Remote Sensing, 13(19), p. 3812. doi: 10.3390/rs13193812. [cit. 2025-01-07].
LIM, Yin Cheng; ABDUL SHAKOR, Ameerah Su'ad a SHAHARUDIN, Rafiza. Reliability and Accuracy of 2D Photogrammetry: A Comparison With Direct Measurement. Online. Frontiers in Public Health. 2022, roč. 9. ISSN 2296-2565. Dostupné z: https://doi.org/10.3389/fpubh.2021.813058. [cit. 2025-01-07].
SÁNCHEZ-GARCÍA, E.; BALAGUER-BESER, A.; TABORDA, R. a PARDO-PASCUAL, J. E. MODELLING LANDSCAPE MORPHODYNAMICS BY TERRESTRIAL PHOTOGRAMMETRY: AN APPLICATION TO BEACH AND FLUVIAL SYSTEMS. Online. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016, roč. XLI-B8, s. 1175-1182. ISSN 2194-9034. Dostupné z: https://doi.org/10.5194/isprsarchives-XLI-B8-1175-2016. [cit. 2025-01-09].
TERRUGI, LILIANA B; RINALDI, MASSIMO; CHIAVERINI, IVAN a OSTUNI, DANIELE. APPLICATION OF TERRESTRIAL PHOTOGRAMMETRY TOTHE MEASUREMENT OF A RIVERBANK RETREAT. Online. ITALIAN JOURNAL OF ENGINEERING GEOLOGY AND ENVIRONMENT. 2011, s. 115-122. Dostupné z: https://doi.org/10.4408/IJEGE.2011-01.S-09. [cit. 2025-01-09].
NERO, Marcelo Antonio; PINTO ROCHA, André; GUERRA MAMEDE, Clayton; BORBA SCHULER, Carlos Alberto; DA COSTA TEMBA, Plínio et al. Positional accuracy in close-range photogrammetry through Topography and Geodesy. Online. Revista de Arquitectura. 2023, roč. 25, č. 2. ISSN 2357-626X. Dostupné z: https://doi.org/10.14718/RevArq.2023.25.3659. [cit. 2025-01-09].
CHEN, Xuanyu; PAN, Shaowei a CHEN, Guanyu. 3D model construction and accuracy analysis based on UAV tilt photogrammetry. Online. IOP Conference Series: Earth and Environmental Science. 2022, roč. 1087, č. 1. ISSN 1755-1307. Dostupné z: https://doi.org/10.1088/1755-1315/1087/1/012047. [cit. 2025-01-09].
Vacca, G., Dessì, A. and Sacco, A. (2017) The Use of Nadir and Oblique UAV Images for Building Knowledge, ISPRS International Journal of Geo-Information, 6(12), p. 393. doi: 10.3390/ijgi6120393. [cit. 2025-01-07].
BLISTAN, Peter; KOVANIČ, Ľudovít; ZELIZŇAKOVÁ, Vladislava a PALKOVÁ, Jana. Using UAV photogrammetry to document rock outcrops. Online. Acta Montanistica Slovaca. Roč. 21, č. 2, s. 154-161. Dostupné z: https://www.researchgate.net/profile/Peter-Blistan/publication/305781724_Using_UAV_photogrammetry_to_document_rock_outcrops/links/57a1b40408aeb16048331a5a/Using-UAV-photogrammetry-to-document-rock-outcrops.pdf. [cit. 2025-01-09].
Štroner, M.; Urban, R.; Křemen, T.; Braun, J. UAV DTM Acquisition in a Forested Area—Comparison of Low-Cost Photogrammetry (DJI Zenmuse P1) and LiDAR Solutions (DJI Zenmuse L1). Eur. J. Remote Sens. 2023, 56, 2179942. [cit. 2025-01-07].
Fuad, N. A., Ismail, Z., Majid, Z., Darwin, N., Ariff, M. F. M., Idris, K. M., & Yusoff, A. R. (2018, July 31). Accuracy evaluation of digital terrain model based on different flying altitudes and conditional of terrain using UAV LiDAR technology. IOP Conference Series: Earth and Environmental Science, 169, 012100. https://doi.org/10.1088/1755-1315/169/1/012100. [cit. 2025-01-07].
MAJID, Z.; ARIFF, M. F. M.; IDRIS, K. M.; YUSOFF, A. R.; IDRIS, K. M. et al. THREE-DIMENSIONAL MAPPING OF AN ANCIENT CAVE PAINTINGS USING CLOSE-RANGE PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNING TECHNOLOGIES. Online. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2017, roč. XLII-2/W3, s. 453-457. ISSN 2194-9034. Dostupné z: https://doi.org/10.5194/isprs-archives-XLII-2-W3-453-2017. [cit. 2025-01-09].
CHEN, Chunpeng; TIAN, Bo; WU, Wenting; DUAN, Yuanqiang; ZHOU, Yunxuan et al. UAV Photogrammetry in Intertidal Mudflats: Accuracy, Efficiency, and Potential for Integration with Satellite Imagery. Online. Remote Sensing. 2023, roč. 15, č. 7. ISSN 2072-4292. Dostupné z: https://doi.org/10.3390/rs15071814. [cit. 2025-01-09].
Forlani, G., Dall’Asta, E., Diotri, F., Cella, U. M. D., Roncella, R., & Santise, M. (2018, February 17). Quality Assessment of DSMs Produced from UAV Flights Georeferenced with On-Board RTK Positioning. Remote Sensing, 10(2), 311. https://doi.org/10.3390/rs10020311. [cit. 2025-01-07].
DINKOV, Davis. Accuracy assessment of high-resolution terrain data produced from UAV images georeferenced with on-board PPK positioning. Online. Journal of the Bulgarian Geographical Society. 2023, roč. 48, s. 43-53. ISSN 2738-8115. Dostupné z: https://doi.org/10.3897/jbgs.e89878. [cit. 2025-01-09].
GÜNGÖR, Ramazan; UZAR, Melis; ATAK, Bilal; YILMAZ, Osman Salih a GÜMÜŞ, Erdal. Orthophoto production and accuracy analysis with UAV photogrammetry. Online. Mersin Photogrammetry Journal. 2022, roč. 4, č. 1, s. 1-6. ISSN 2687-654X. Dostupné z: https://doi.org/10.53093/mephoj.1122615. [cit. 2025-01-09].
Teppati Losè, L., Chiabrando, F. and Giulio Tonolo, F. (2020) Boosting the Timeliness of UAV Large Scale Mapping. Direct Georeferencing Approaches: Operational Strategies and Best Practices, ISPRS International Journal of Geo-Information, 9(10), p. 578. doi: 10.3390/ijgi9100578. [cit. 2025-01-07].
Štroner, M., Urban, R., Seidl, J., Reindl, T., & Brouček, J. (2021, March 31). Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs. Remote Sensing, 13(7), 1336. https://doi.org/10.3390/rs13071336. [cit. 2025-01-07].
MATUZEVIČIUS, Dalius; URBANAVIČIUS, Vytautas; MINIOTAS, Darius; MIKUČIONIS, Šarūnas; LAPTIK, Raimond et al. Key-Point-Descriptor-Based Image Quality Evaluation in Photogrammetry Workflows. Online. Electronics. 2024, roč. 13, č. 11. ISSN 2079-9292. Dostupné z: https://doi.org/10.3390/electronics13112112. [cit. 2025-01-09].
Online. In: Agisoft Metashape User Manual - Professional Edition, Version 2.0. Agisoft Metashape, s. 25. Dostupné z: https://www.agisoft.com/pdf/metashape-pro_2_0_en.pdf. [cit. 2024-07-13].
Topic: What causes an Estimated Image Quality value >1? Online. Agisoft Metashape. Dostupné z: https://www.agisoft.com/forum/index.php?topic=9889.0. [cit. 2024-11-01].
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Author
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
