Positional accuracy in close-range photogrammetry through Topography and Geodesy

  1. Nero, Marcelo Antonio 1
  2. Pinto Rocha, André 2
  3. Guerra Mamede, Clayton 2
  4. Borba Schuler, Borba Schuler 3
  5. da Costa Temba, Plínio 4
  6. Reinoso-Gordo, Juan Francisco 5
  1. 1 Universidade Federal de Minas Gerais-UFMG (Brasil) Departamento de Cartografía
  2. 2 Universidade Federal de Pernambuco- UFPE, (Brasil) Centro de Tecnología y Geociencias
  3. 3 Universidade Federal de Pernambuco - UFPE (Brasil) Departamento de Ingeniería Cartográfica
  4. 4 Universidade de Minas Gerais - UEMG, MG (Brasil) Instituto de Geociencias
  5. 5 Universidad de Granada (España) Departamento de Expresión Gráfica Arquitectónica y en la Ingeniería
Journal:
Revista de arquitectura

ISSN: 1657-0308 2357-626X

Year of publication: 2023

Issue: 0

Type: Article

DOI: 10.14718/REVARQ.2023.25.3659 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Revista de arquitectura

Abstract

Computational three-dimensional modelling can be used to reconstruct real-world objects with all their details and conservation conditions. Photogrammetry offers products with accuracy, in addition to the flexibility of execution of simple and complex projects, according to the simplicity and speed in data acquisition. The three-dimensional (3D) and georeferenced modelling allows the documentation of the object that was mapped by means of the location. This paper presents a methodology based on topographic and geodetic techniques with georeferencing applied to three-dimensional modelling of architectural forms with the use of digital close-range photogrammetry. The measurements made on the digital product obtained and the same measurements made using precision topography were compared considering the conversion of coordinates to the same projection and reference systems. Finally, the statistical validation and quantification in terms of the positional accuracy of the final product were performed.

Bibliographic References

  • Ahmed, M., Hass, C. T., & Hass, R. (2012). Using digital photogrammetry for pipe-works progress tracking, Canadian Journal of Civil Engineering, 39(9), 1062-1071. https://doi.org/10.1139/l2012-055
  • Associação Brasileira de Normas Técnicas (ABNT). (2021). NBR 13133: Execução de levantamento topográfico - Procedimento. Rio de Janeiro. https://www.normas.com.br/visualizar/abnt-nbr-nm/6400/abnt-nbr13133-execucao-de-levantamento-topografico-procedimento
  • Associação Brasileira de Normas Técnicas (ABNT). (2022). NBR 14166: Rede de referência cadastral municipal: Requisitos e procedimento. Rio de Janeiro, https://www.normas.com.br/autorizar/visualizacao-nbr/10905/identificar/visitante
  • Ayala-García, E. T. (2021). La arquitectura, el espacio público y el derecho a la ciudad. Entre lo físico y lo vivencial. Revista de Arquitectura (Bogotá), 23(2), 36-46. https://doi.org/10.14718/RevArq.2021.3286
  • Basnet, K., Must, M., Constantinescu, G., Ho, H., & Xu, H. (2016). Close-range photogrammetry for dynamically tracking drifted snow deposition. Cold Regions Science and Technology, 121, 141-153. https://doi.org/10.1016/j.coldregions.2015.08.013
  • Bill, R., Blankenbach, J., Breunig, M., Haunert, J. H., Heipke, C., Herle, S., ... & Werner, M. (2022). Geospatial Information Research: State of the Art, Case Studies and Future Perspectives. PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 90, 349-389. https://link.springer.com/article/10.1007/s41064-022-00217-9
  • Brun, E. V. P. (2005). Verificação e classificação de níveis de acordo com normas internacionais. Dissertation presented in Course of Pós-Graduação em Ciências Geodésicas da Universidade Federal do Paraná, Curitiba. https://acervodigital.ufpr.br/handle/1884/11171
  • Cârlan, I., & Dovleac, B. (2017). 3D modelling of arutela roman castrum using close-range photogrammetry. International Journal of Conservation Science, 8(1), 35-42. https://www.researchgate.net/publication/316642509_3D_modelling_of_Arutela_Roman_Castrum_using_close-range_photogrammetry
  • Cedeño-Valdiviezo, A., & Torres-Lima, P. A. (2019). Conservación del arte contemporáneo: el caso de Mathias Goeritz en la catedral metropolitana de México. Revista de Arquitectura (Bogotá), 21(1), 44-53. https://doi.org/10.14718/RevArq.2019.21.1.2304
  • Cintra, J. P., & Rocco, J. (2014). Controle de qualidade angular em levantamentos topográficos. Boletim de Ciências Geodésicas, 20(3), 562-577. https://dx.doi.org/10.1590/S1982-21702014000300032
  • Cintra, J. P., Nero, M. A., & Rodrigues, D. (2011). GNSS/NTRIP Service and Technique: Accuracy Tests. Boletim de Ciências Geodésicas, 17(2), 257-271. https://doi.org/10.1590/S1982-21702011000200006
  • Coelho, L., & Brito, J. N. (2007). Fotogrametria digital. EdUERJ.
  • Colombo, O. (2008). Real-Time, Wide-Area, Precise Kinematic Positioning Using Data from Internet NTRIP Streams, Colombo, O.L., In: Proceedings ION GNSS 2008, Savannah, Georgia. 2008. https://www.researchgate.net/publication/280938048_Real-Time_Wide-Area_Precise_Kinematic_Positioning_Using_Data_from_Internet_NTRIP_Streams
  • Colorado, L. A. M., & Santos, J. C. M. (2015). Kinematic parameter estimation using close-range photogrammetry for sport applications, In: Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810M (22 December 2015); Cuenca, Ecuador, https://doi.org/10.1117/12.2208354
  • Cortés-Garzón, L. (2023). Cultura, prácticas artísticas y espacio urbano en la Localidad de San Cristóbal: el caso del suroriente, Bogotá. Revista de Arquitectura (Bogotá), 23(1). http://dx.doi.org/10.14718/RevArq.2023.25.3864
  • Deutsches Institut fur Normung. DIN 18723 - 1: Feldverfahren zur Genauigkeitsuntersuchung Geodatischer Instrumente – Allgemeines. Deutschland, 1990a. https://standards.globalspec.com/std/426033/DIN%2018723-1
  • Deutsches Institut fur Normung. DIN 18723 - 2: Feldverfahren zur Genauigkeitsuntersuchung Geodatischer Instrumente – Nivelliere. Deutschland, 1990b. https://infostore.saiglobal.com/en-us/Standards/DIN-18723-2-1990-387657_SAIG_DIN_DIN_880541/
  • Egea-Roca, D., Arizabaleta-Diez, M., Pany, T., Antreich, F., López-Salcedo, J. A., Paonni, M., & Seco-Granados, G. (2022). GNSS User Technology: State-of-the-Art and Future Trends. IEEE Access, 10, 39939-39968. https://ieeexplore.ieee.org/iel7/6287639/9668973/09751089.pdf
  • Faggion, P. L. (2001). Obtenção dos elementos de calibração e certificação de medidores eletrônicos de distância em campo e laboratório. Phd thesis presented in Course of Pós-Graduação em Ciências Geodésicas da Universidade Federal do Paraná, Curitiba. https://pdfs.semanticscholar.org/3239/f005258e5e79af396c1c76ea23fc93d70327.pdf
  • Ferenčík, M., Dudáková, Z., Kardoš, M., Sivák, M., Merganičová, K., & Merganič, J. (2022). Measuring Soil Surface Changes after Traffic of Various Wheeled Skidders with Close-Range Photogrammetry. Forests, 13(7), 976. https://www.mdpi.com/1999-4907/13/7/976/pdf?version=1655896051
  • Fraser, R., Mowlam, A., Collier, P. (2005). Augmentation of Low–Cost GPS Receivers via Web Services and Wireless Mobile Devices. Journal of Global Positioning Systems, 3(1-2), 2005, 85-94. https://www.scirp.org/pdf/nav20040100013_63122120.pdf
  • Fraštia, M. (2009). Creation of the accurate spatial models of historical objects by the close-range photogrammetry method, Acta Montanistica Slovaca, 14(1), 34-40. https://www.researchgate.net/publication/40422877_Creation_of_the_accurate_spatial_models_of_historical_objects_by_the_close-range_photogrammetry_method
  • Fu, X., Peng, C., Li, Z., Liu, S., Tan, M., Song, J. (2017). The application of multi-baseline digital close-range photogrammetry in three-dimensional imaging and measurement of dental casts. Plos One, 12(6), e0178858. https://doi.org/10.1371/ journal. pone.0178858
  • Geomatics Industry Association of America (GIAA). (2002). DIN 18723 Specification for Theodolite Accuracy. Professional Surveyor Magazine, nov. 2002. https://s3.microsurvey.com/support/Knowledgebase/stderr/Din18723.pdf
  • Gnann, N., Baschek, B., & Ternes, T. (2022). Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: a review. Water Research, 118902. https://www.sciencedirect.com/science/article/pii/S0043135422008491?casa_token=ovWzA7czhNIAAAAA:4Rj6XWxx2FYYBsqyL3F3BI4EDV-ieAImy5tO6IhaGvHrGVIrTyt27E-RclLpkEccQgdhaJiRvdZ1
  • Gonçalves, J. A., Madeira, S., & Sousa, J. J. (2012). Topografia: Conceitos e Aplicações. Porto, Portugal: Editora Lidel, 357p.
  • Gutiérrez-Morales, G. (2019). Arquitecturas tradicionales y populares: un reto para la historiografía de la arquitectura en Colombia. Revista de Arquitectura (Bogotá), 22(2). https://doi.org/10.14718/RevArq.2020.2040
  • Illmann, R., Rosenberger, M., & Notni, G. (2022). Overview of the state of the art in the digitization of drivable forestry roads. Image Sensing Technologies: Materials, Devices, Systems, and Applications IX, 12091, 66-75. https://doi.org/10.1117/12.2622738
  • Jiang, R., Jáuregui, D. V., & White, K. R. (2008). Close-range photogrammetry applications in bridge measurement: Literature review. Journal Measurement, 41(8), 823-834. https://doi.org/10.1016/j.measurement.2007.12.005
  • Kasser, M., Egels, Y. (2002) Digital Photogrammetry. New York-USA: Taylor & Francis.
  • Koken, A., Koroglu, M. A., Karabork, H., & Ceylan, A. (2014). Photogrammetric Approach in Determining Beam-Column Connection Deformations. Boletim de Ciências Geodésicas, 20(3), 720-733. https://doi.org/10.1590/S1982-21702014000300041
  • Kraus, K. (1993). Photogrammetry. V. 1, Bonn-Germany: Ümmler.
  • Kushwaha, S.K.P, Dayal, K. R., Singh, A., & Jain, K. (2019). Building facade and rooftop segmentation by normal estimation from UAV derived RGB point cloud. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W17, 2019 6th International Workshop Low-cost 3D – Sensors, Algorithms, Applications, 2–3 December 2019, Strasbourg, France, 173-177.
  • Kwak, E., Detchev, I., Habib, A., El-Badry, M., Hughes, C. (2013) Precise Photogrammetric Reconstruction Using Model-Based Image Fitting for 3D Beam Deformation Monitoring. Journal of Surveying Engineering, 139(3), 143-155. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000105
  • Lauria, G., Sineo, L., & Ficarra, S. (2022). A detailed method for creating digital 3D models of human crania: an example of close-range photogrammetry based on the use of Structure-from-Motion (SfM) in virtual anthropology. Archaeological and Anthropological Sciences, 14(3), 1-13. https://link.springer.com/article/10.1007/s12520-022-01502-9
  • Leick, A., Rapoport, L., Tatarnikov, D. (2015). GPS Satellite Surveying. 4th Ed. New York-USA: Wiley.
  • Li, Z., & Shan, J. (2022). RANSAC-based multi primitive building reconstruction from 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 185, 247-260. https://doi:10.1016/j.isprsjprs.2021.12.012
  • Llanos-Chaparro, I., Henao-Carvajal, E., & Bárcenas-Duque, D. (2022). Adaptaciones geográficas de la casa moderna en Colombia Cuatro casos de estudio en el litoral, el valle, la montaña y el altiplano. Revista de Arquitectura (Bogotá), 24(2). https://doi.org/10.14718/RevArq.2022.24.4248
  • Long, C., Wan, B., Yang, Z., Liu, H., Tao, L., Ruan, G., Liu, Y., Wei, Y. (2017). Study on close-range photogrammetry without traditional self-calibration measurement model, Proc. SPIE 10458, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing, 104580C (24 October 2017); Beijing, China. https://doi.org/10.1117/12.2281984
  • Maric, I., Panda, L., & Milosevic, R. (2022). Multi-Resolution Modelling of the Tufa Formation Dynamic using Close-Range Photogrammetry, Handheld 3D Scanner and Terrestrial Laser Scanner. In GISTAM (pp. 75-82).
  • Martín, S., Uzkeda, H., Poblet, J., Bulnes, M., & Rubio, R. (2013). Construction of accurate geological cross-sections along trenches, cliffs and mountain slopes using photogrammetry. Computer & Geosciences, 51, 90-100. https://doi.org/10.1016/j.cageo.2012.09.014
  • Mikail, M., Bethel, J. M., McGlone, J. C. (2001). Introduction to Modern Photogrammetry. John Wiley & Sons.
  • Monico, J. F. G. (2009). Posicionamento pelo GNSS: Descrição, fundamentos e aplicações. UNESP.
  • Murtiyoso, A., Pellis, E., Grussenmeyer, P., Landes, T., & Masiero, A. (2022). Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry. Sensors, 22(3), 966. https://www.mdpi.com/1424-8220/22/3/966/pdf
  • Mustaffar, M., Saari, R., Abu Bakar, S., Moghadasi, M., & Marsono, K. (2012). The Measurement of Full-Scale Structural Beam-Column Connection Deformation Using Digital Close-range Photogrammetry Technique, Malaysian Journal of Civil Engineering, 24(2), 148-160. https://mjce.utm.my/index.php/MJCE/article/view/281/270
  • Nategh, M., Ekinci, A., & Iravanian, A. (2022). A Novel Application of Close-range Photogrammetry for Earth Retaining Wall and Slope Stability Assessment. https://www.researchsquare.com/article/rs-1534286/latest.pdf
  • Nex, F, Armenakis, C., Cramer, M., Cucci, D.A., Gerke, M., Honkavaara, E., Kukko, A., Persello, C., & Skaloud, J. (2022). UAV in the advent of the twenties: Where we stand and what is next. ISPRS Journal of Photogrammetry and Remote Sensing, 184, 215-242. https://doi.org/10.1016/j.isprsjprs.2021.12.006
  • Paciléo Netto, N. (1993). Métodos de ajustamento em geodésia e topografia. Thesis presented in Escola Politécnica. Universidade de São Paulo.
  • Paciléo Netto, N. (1997). Campo de provas para instrumentos de medição e posicionamento. Universidade de São Paulo.
  • Paixão, A., Muralha, J., Resende, R., & Fortunato, E. (2022). Close-Range Photogrammetry for 3D Rock Joint Roughness Evaluation. Rock Mechanics and Rock Engineering, 55(6), 3213-3233.
  • Petruccioli, A., Gherardini, F., & Leali, F. (2022). Assessment of close-range photogrammetry for the low-cost development of 3D models of car bodywork components. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-11.
  • Photomodeler (2013). www.photomodeler.com. Access in: Dec. 02, 2013.
  • Reinoso-Gordo, J. F., Romero-Zaliz, R., León-Robles, C., Mataix-SanJuan, J., & Nero, M. A. (2020). Fourier-Based Automatic Transformation between Mapping Shapes—Cadastral and Land Registry Applications. ISPRS International Journal of Geo-Information, 9(8), 482. https://doi.org/10.3390/ijgi9080482
  • Santofimio-Ortiz, R., Pérez-Agudelo, S. M. (2020). Monumentos y Arte urbano: Percepciones actitudes y valores en el caso de la ciudad de Manizales. Revista de Arquitectura (Bogotá), 22(2). https://doi.org/10.14718/RevArq.2020.2221
  • Santosi, Z., Sokac, M., Korolija-Crkvenjakov, D., Kosec, B., Sokovic, M., & Budak, I. (2015). Reconstruction of 3D models of cast sculptures using close-range photogrammetry. Metalurgija, 54(4), 695-698, 2015. https://www.researchgate.net/publication/282200200_Reconstruction_of_3D_models_of_cast_sculptures_using_close-range_photogrammetry
  • Shortis, M. R., & Shager, J. W. (2014). A practical target recognition system for close-range photogrammetry. The Photogrammetric Record, 29(147), 337-355. https://doi.org/10.1111/phor.12070
  • Silva, I., & Segantini, P. C. L. (2015). Topografia para Engenharia: teoria e prática de geomática (1st ed.). Rio de Janeiro-Brazil.
  • Silva, M. M. S. (2008). Metodologia para a criação de um laboratório para classificação das componentes angulares horizontal e vertical, de teodolitos e estações totais. 2008. 139p. Phd thesis presented in Universidade Federal do Paraná. Curitiba, Paraná.
  • Silva, M. M. S., Faggion, P. L., Veiga, L. A. K. (2010). Metodologia de classificação das componentes angulares horizontal de teodolitos e estações totais em laboratório. Boletim de Ciências Geodésicas, 16(3), 403-419. https://revistas.ufpr.br/bcg/article/view/18724/12151
  • Um, I.; Park, S., Kim, H. T., & Kim, H. (2020). Configuring RTK-GPS Architecture for System Redundancy in Multi-Drone Operations. IEEE Access, 8, 76228-76242, 2020. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9075221