Positional accuracy in close-range photogrammetry through Topography and Geodesy

Resumen

El modelado tridimensional computacional se puede utilizar para la reconstrucción de los objetos del mundo real con todos sus detalles y condición de conservación. La fotogrametría ofrece productos con exactitud, además de la flexibilidad de ejecución de los proyectos simples o complejos, de acuerdo con la simplicidad y rapidez en la adquisición de los datos. Los modelados tridimensionales (3D) y georreferenciados permiten la documentación del objeto que fue mapeado por medio de la ubicación. Este trabajo presenta una metodología basada en técnicas topográficas y geodésicas con georreferenciación, a partir de las cuales se ha aplicado el modelado tridimensional de la arquitectura basada en el empleo de la fotogrametría terrestre digital. Se ha realizado la comparación de las mediciones hechas sobre el producto digital obtenido y las mismas mediciones hechas mediante topografía de precisión, contexto en el que se tuvo en cuenta la conversión de las coordenadas hasta los mismos sistemas de proyección y referencia. Al final, se hizo la validación y la cuantificación estadísticos en términos posicionales de exactitud del producto final.

Palabras clave:

control de la calidad fotogrametría terrestre digital geodesía georreferenciación topografía

Citas

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

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