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Research Article

Democratizing photogrammetry: an accuracy perspective

ORCID Icon, ORCID Icon, ORCID Icon, , ORCID Icon & ORCID Icon
Pages 175-188 | Received 04 Jul 2022, Accepted 06 Feb 2023, Published online: 02 May 2023

References

  • Ackermann, F. 1987. “The Use of Camera Orientation Data in Photogrammetry – A Review.” Photogrammetry 42 (1–2): 19–33. doi:10.1016/0031-8663(87)90003-2.
  • Ackermann, F. 1992a. “Operational Rules and Accuracy Models for GPS-Aerotriangulation.” Arch. ISPRS 1: 691–700.
  • Ackermann, F. 1992b. “Prospects of Kinematic GPS for Aerial Triangulation.” ITC Journal 4: 326–338.
  • Ackermann, F. 1996. “Photogrammetry Today.” ITC Journal 3 (4): 230–237.
  • Agüera-Vega, F., F. Carvajal-Ramírez, and P. Martínez-Carricondo. 2017. “Assessment of Photogrammetric Mapping Accuracy Based on Variation Ground Control Points Number Using Unmanned Aerial Vehicle.” Measurement 98: 221–227. doi:10.1016/j.measurement.2016.12.002.
  • Baqersad, J., P. Poozesh, C. Niezrecki, and P. Avitabile. 2017. “Photogrammetry and Optical Methods in Structural Dynamics – A Review.” Mechanical Systems and Signal Processing 86: 17–34. doi:10.1016/j.ymssp.2016.02.011.
  • Brown, D. C. 1966. “Decentering Distortion of Lenses. Photogrammetric Engineering and Remote Sensing.” https://ci.nii.ac.jp/naid/10022411406/
  • Caldera-Cordero, J. M., and M.-E. Polo. 2019. “Analysis of Free Image-Based Modeling Systems Applied to Support Topographic Measurements.” Survey Review 51 (367): 300–309. doi:10.1080/00396265.2018.1451271.
  • Chen, B., C. Gao, Y. Liu, and P. Sun. 2019. “Real-Time Precise Point Positioning with a Xiaomi MI 8 Android Smartphone.” Sensors 19 (12): 2835. doi:10.3390/s19122835.
  • Chirico, P., J. DeWitt, and S. Bergstresser. 2020. “Evaluating Elevation Change Thresholds Between Structure-From-Motion DEMs Derived from Historical Aerial Photos and 3DEP LiDar Data.” Remote Sensing 12 (10): 1625. doi:10.3390/rs12101625.
  • Duró, G., A. Crosato, M. G. Kleinhans, and W. S. J. Uijttewaal. 2018. “Bank Erosion Processes Measured with UAV-Sfm Along Complex Banklines of a Straight Mid-Sized River Reach.” Earth Surface Dynamics 6 (4): 933–953. doi:10.5194/esurf-6-933-2018.
  • Ferrer-González, E., F. Agüera-Vega, F. Carvajal-Ramírez, and P. Martínez-Carricondo. 2020. “UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points.” Remote Sensing 12 (15): 2447. doi:10.3390/rs12152447.
  • Gerke, M., and H.-J. Przybilla. 2016. “Accuracy Analysis of Photogrammetric UAV Image Blocks: Influence of Onboard RTK-GNSS and Cross Flight Patterns.” Photogrammetrie, Fernerkundung, Geoinformation 2016: 17–30. doi:10.1127/pfg/2016/0284.
  • Grenzdörffer, G. J., M. Naumann, F. Niemeyer, and A. Frank. 2015. “Symbiosis of Uas Photogrammetry and Tls for Surveying and 3d Modeling of Cultural Heritage Monuments - A Case Study About the Cathedral of ST. Nicholas in the City of Greifswald.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL1: 91. doi:10.5194/isprsarchives-XL-1-W4-91-2015.
  • Hansman, R. J., and U. Ring. 2019. “Workflow: From Photo-Based 3-D Reconstruction of Remotely Piloted Aircraft Images to a 3-D Geological Model.” Geosphere 15 (4): 1393–1408. doi:10.1130/GES02031.1.
  • Havlena, M., and K. Schindler. 2014. “VocMatch: Efficient Multiview Correspondence for Structure from Motion.” Computer Vision – ECCV 2014: 46–60. doi:10.1007/978-3-319-10578-9_4.
  • Hill, A. C. 2019. “Economical Drone Mapping for Archaeology: Comparisons of Efficiency and Accuracy.” Journal of Archaeological Science: Reports 24: 80–91. doi:10.1016/j.jasrep.2018.12.011.
  • Hupy, J. P., and C. Wilson. 2021. “Modeling Streamflow and Sediment Loads with a Photogrammetrically Derived UAS Digital Terrain Model: Empirical Evaluation from a Fluvial Aggregate Excavation Operation.” Drones 5 (1): 20. doi:10.3390/drones5010020.
  • Iheaturu, C. J., E. G. Ayodele, and C. J. Okolie. 2020. “An Assessment of the Accuracy of Structure-From-Motion (SfM) Photogrammetry for 3D Terrain Mapping.” Geomatics, Landmanagement and Landscape 65–82. doi:10.15576/GLL/2020.2.65.
  • Jiang, S., C. Jiang, and W. Jiang. 2020. “Efficient Structure from Motion for Large-Scale UAV Images: A Review and a Comparison of SfM Tools.” ISPRS Journal of Photogrammetry and Remote Sensing 167: 230–251. doi:10.1016/j.isprsjprs.2020.04.016.
  • Kang, L., L. Wu, and Y.-H. Yang. 2014. “Robust Multi-View L2 Triangulation via Optimal Inlier Selection and 3D Structure Refinement.” Pattern Recognition 47 (9): 2974–2992. doi:10.1016/j.patcog.2014.03.022.
  • Lercel, D. J., and J. P. Hupy. 2020. “Developing a Competency Learning Model for Students of Unmanned Aerial Systems.” Collegiate Aviation Review International 38 (2): 12–33. doi:10.22488/okstate.20.100212.
  • Lowe, D. G. 2004. “Distinctive Image Features from Scale-Invariant Keypoints.” International Journal of Computer Vision 60 (2): 91–110. doi:10.1023/B:VISI.0000029664.99615.94.
  • Magri, L., and R. Toldo. 2017. “Bending the Doming Effect in Structure from Motion Reconstructions Through Bundle Adjustment.” ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences 42: 235–241. doi:10.5194/isprs-archives-xlii-2-w6-235-2017.
  • Marr, D., and T. Poggio. 1976. “Cooperative Computation of Stereo Disparity.” Science 194 (4262): 283–287. doi:10.1126/science.968482.
  • Martínez-Carricondo, P., F. Agüera-Vega, F. Carvajal-Ramírez, F.-J. Mesas-Carrascosa, A. García-Ferrer, and F.-J. Pérez-Porras. 2018. “Assessment of UAV-Photogrammetric Mapping Accuracy Based on Variation of Ground Control Points.” International Journal of Applied Earth Observation and Geoinformation 72: 1–10. doi:10.1016/j.jag.2018.05.015.
  • Mercuri, M., K. J. W. McCaffrey, L. Smeraglia, P. Mazzanti, C. Collettini, and E. Carminati. 2020. “Complex Geometry and Kinematics of Subsidiary Faults Within a Carbonate-Hosted Relay Ramp.” Journal of Structural Geology 130 (103915): 103915. doi:10.1016/j.jsg.2019.103915.
  • Mlambo, R., I. Woodhouse, F. Gerard, and K. Anderson. 2017. “Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries.” Forests 8 (3): 68. doi:10.3390/f8030068.
  • Mohan, A., and S. Poobal. 2018. “Crack Detection Using Image Processing: A Critical Review and Analysis.” Alexandria Engineering Journal 57 (2): 787–798. doi:10.1016/j.aej.2017.01.020.
  • Murtiyoso, A., and P. Grussenmeyer. 2017. “Documentation of Heritage Buildings Using Close-Range UAV Images: Dense Matching Issues, Comparison and Case Studies.” Photogrammetric Record 32: 206–229. doi:10.1111/phor.12197.
  • Murtiyoso, A., M. Koehl, P. Grussenmeyer, and T. Freville. 2017. “Acquisition and Processing Protocols for Uav Images: 3d Modeling of Historical Buildings Using Photogrammetry.” ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4W (2): 163–170. doi:10.5194/isprs-annals-IV-2-W2-163-2017.
  • Nex, F., and F. Remondino. 2014. “UAV for 3D Mapping Applications: A Review.” Applied Geomatics 6 (1): 1–15. doi:10.1007/s12518-013-0120-x.
  • Oh, S., J. Jung, G. Shao, G. Shao, J. Gallion, and S. Fei. 2022. “High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDar Data in Indiana, USA.” Remote Sensing 14 (4): 935. doi:10.3390/rs14040935.
  • Oniga, V.-E., A.-I. Breaban, N. Pfeifer, and C. Chirila. 2020. “Determining the Suitable Number of Ground Control Points for UAS Images Georeferencing by Varying Number and Spatial Distribution.” Remote Sensing 12 (5): 876. doi:10.3390/rs12050876.
  • Padró, J.-C., F.-J. Muñoz, J. Planas, and X. Pons. 2019. “Comparison of Four UAV Georeferencing Methods for Environmental Monitoring Purposes Focusing on the Combined Use with Airborne and Satellite Remote Sensing Platforms.” International Journal of Applied Earth Observation and Geoinformation 75: 130–140. doi:10.1016/j.jag.2018.10.018.
  • Park, J. W., and D. J. Yeom. 2022. “Method for Establishing Ground Control Points to Realize UAV-Based Precision Digital Maps of Earthwork Sites.” Journal of Asian Architecture and Building Engineering 21 (1): 110–119. doi:10.1080/13467581.2020.1869023.
  • Pierdicca, R. 2018. “Mapping Chimu’s Settlements for Conservation Purposes Using UAV and Close Range Photogrammetry. The Virtual Reconstruction of Palacio Tschudi, Chan, Peru.” Digital Applications in Archaeology and Cultural Heritage 8: 27–34. doi:10.1016/j.daach.2017.11.004.
  • Robustelli, U., V. Baiocchi, and G. Pugliano. 2019. “Assessment of Dual Frequency GNSS Observations from a Xiaomi Mi 8 Android Smartphone and Positioning Performance Analysis.” Electronics 8 (1): 91. doi:10.3390/electronics8010091.
  • Sanz-Ablanedo, E., J. Chandler, J. Rodríguez-Pérez, and C. Ordóñez. 2018. “Accuracy of Unmanned Aerial Vehicle (UAV) and SfM Photogrammetry Survey as a Function of the Number and Location of Ground Control Points Used.” Remote Sensing 10 (10): 1606. doi:10.3390/rs10101606.
  • Sapirstein, P. 2018. “A High-Precision Photogrammetric Recording System for Small Artifacts.” Journal of Cultural Heritage 31: 33–45. doi:10.1016/j.culher.2017.10.011.
  • Schonberger, J. L., A. C. Berg, and J.-M. Frahm. 2015. “Paige: Pairwise Image Geometry Encoding for Improved Efficiency in Structure-From-Motion.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1009–1018. doi:10.1109/CVPR.2015.7298703.
  • Schönberger, J. L., and J.-M. Frahm. 2016. “Structure-From-Motion Revisited.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4104–4113. doi:10.1109/CVPR.2016.445.
  • Shan, J. 2018. “A Brief History and Essentials of Bundle Adjustment.” Geomatics and Information Science of Wuhan University 43 (12): 1797–1810. doi:10.13203/j.whugis20180331.
  • Snavely, N., I. Simon, M. Goesele, R. Szeliski, and S. M. Seitz. 2010. “Scene Reconstruction and Visualization from Community Photo Collections.” Proceedings of the IEEE 98 (8): 1370–1390. doi:10.1109/JPROC.2010.2049330.
  • Su, W., M. Zhang, D. Bian, Z. Liu, J. Huang, W. Wang, J. Wu, and H. Guo. 2019. “Phenotyping of Corn Plants Using Unmanned Aerial Vehicle (UAV) Images.” Remote Sensing 11 (17): 2021. doi:10.3390/rs11172021.
  • Tavani, S., A. Corradetti, P. Granado, M. Snidero, T. D. Seers, and S. Mazzoli. 2019. “Smartphone: An Alternative to Ground Control Points for Orienting Virtual Outcrop Models and Assessing Their Quality.” Geosphere 15 (6): 2043–2052. doi:10.1130/GES02167.1.
  • Tavani, S., A. Pignalosa, A. Corradetti, M. Mercuri, L. Smeraglia, U. Riccardi, T. Seers, T. Pavlis, and A. Billi. 2020. “Photogrammetric 3D Model via Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices.” Remote Sensing 12 (21): 3616. doi:10.3390/rs12213616.
  • Teunissen, P. J. G., and O. Montenbruck. 2017. Springer Handbook of Global Navigation Satellite Systems. Cham: Springer. doi:10.1007/978-3-319-42928-1.
  • Tian, X., Y. Xu, F. Wei, O. Gungor, Z. Li, C. Wang, S. Li, and J. Shan. 2020. “Pavement Macrotexture Determination Using Multi-View Smartphone Images.” Photogrammetric Engineering & Remote Sensing 86 (10): 643–651. doi:10.14358/PERS.86.10.643.
  • Triggs, B., P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon. 2000. “Bundle Adjustment — A Modern Synthesis.” In Vision Algorithms: Theory and Practice, 298–372. Springer Berlin Heidelberg. doi:10.1007/3-540-44480-7_21.
  • Tuytelaars, T., and K. Mikolajczyk. 2008. “Local Invariant Feature Detectors: A Survey.” Foundations and trends® in Computer Graphics and Vision 3 (3): 177–280. doi:10.1561/0600000017.
  • Ullman, S. 1979. “The Interpretation of Visual Motion.” Massachusetts Inst of Technology Pr. 229. https://psycnet.apa.org/fulltext/1980-70610-000.pdf
  • Westoby, M. J., J. Brasington, N. F. Glasser, M. J. Hambrey, and J. M. Reynolds. 2012. ““Structure-From-Motion” Photogrammetry: A Low-Cost, Effective Tool for Geoscience Applications.” Geomorphology 179: 300–314. doi:10.1016/j.geomorph.2012.08.021.
  • Woodget, A. S., R. Austrums, I. P. Maddock, and E. Habit. 2017. “Drones and Digital Photogrammetry: From Classifications to Continuums for Monitoring River Habitat and Hydromorphology.” Wiley Interdisciplinary Reviews: Water 4 (4): e1222. doi:10.1002/wat2.1222.
  • Wróżyński, R., K. Pyszny, M. Sojka, C. Przybyła, and S. Murat-Błażejewska. 2017. “Ground Volume Assessment Using ’Structure from Motion’ Photogrammetry with a Smartphone and a Compact Camera.” Open Geosciences 9 (1): 281–294. doi:10.1515/geo-2017-0023.
  • Zhang, H., E. Aldana-Jague, F. Clapuyt, F. Wilken, V. Vanacker, and K. Van Oost. 2019. “Evaluating the Potential of Post-Processing Kinematic (PPK) Georeferencing for UAV-Based Structure- From-Motion (SfM) Photogrammetry and Surface Change Detection.” Earth Surface Dynamics 7: 807–827. doi:10.5194/esurf-7-807-2019.