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Determining the rate of erosion and lichen spread on Samaipata rock by comparing 3D laser scan results from two different surveying epochs

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Warianty tytułu
PL
Określanie stopnia erozji i tempa rozprzestrzeniania się porostów na skale Samaipata przez porównanie wyników skanowania laserowego 3D z dwóch różnych epok pomiarowych
Języki publikacji
EN
Abstrakty
EN
The paper describes the possibility of using 3D laser scans from two different surveying epochs for structural health monitoring. It uses the results of two particular projects – the 2006 3D laser scanning of Samiapata rock by the University of Arkansas and the 2016 3D laser scanning by the Laboratory of 3D Laser Scanning at Wrocław University of Science and Technology – and discusses the methods, results, and limitations of comparing them.
PL
W artykule opisano możliwość zastosowania laserowego skanowania 3D z dwóch różnych epok pomiarowych do monitorowania stanu zabytku. Wykorzystano wyniki wykonanego przez University of Arkansas laserowego skanowania El Fuerte de Samaipata z 2006 r. oraz laserowego skanowania 3D z roku 2016 wykonanego przez Laboratorium Skanowania Laserowego 3D Politechniki Wrocławskiej. Omówiono wyniki i ograniczenia proponowanej metody.
Czasopismo
Rocznik
Tom
Strony
125--133
Opis fizyczny
Bibliogr. 25 poz., rys.
Twórcy
autor
  • Faculty of Architecture, Wrocław University of Science and Technology
  • Faculty of Architecture, Wrocław University of Science and Technology
Bibliografia
  • [1] Moropoulou A., Delegou E.T., Labropoulos K. et al., Non-destructive techniques as a tool for the protection of built cultural heritage, “Construction and Building Materials” 2013, No. 48, 1222–1239, doi: 10.1016/j.conbuildmat.2013.03.044.
  • [2] Lachat E., Landes T., Grussenmeyer P., Comparison of point cloud registration algorithms for better result assessment – towards an open-source solution, “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences” 2018, Vol. XLII-2, 551–558, doi: 10.5194/isprs-archives-XLII-2-551-2018.
  • [3] Rabbani T., Dijkman S., van den Heuvel F. et al., An integrated approach for modelling and global registration of point clouds, “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences” 2007, Vol. 61, Iss. 6, 355–370, doi: 10.1016/j.isprsjprs.2006.09.006.
  • [4] Dąbek P.B., Patrzałek C., Ćmielewski B. et al., The use of terrestrial laser scanning in monitoring and analyses of erosion phenomena in natural and anthropogenically transformed areas, “Cogent Geoscience” 2018, Vol. 4, No. 1, 1–18, doi: 10.1080/23312041.2018.1437684.
  • [5] Selbesoglu M.O., Bakirman T., Gokbayrak O., Deformation Measurement Using Terrestrial Laser Scanner for Cultural Heritage, “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences” 2016, Vol. XLII-2/W1, 89–93, doi: 10.5194/isprs-archives-XLII-2-W1-89-2016.
  • [6] Avilés S., Conservazione del tempio della rocca scolpita di Samaipata – Santa Cruz, Bolivia (Sudamerica), Tesi di Master, Università di Bologna – Sede di Ravenna, Facoltà di Conservazione dei Beni Culturali, Dipartimento di Storie e Metodi per la Conservazione dei Beni Culturali 2002, www.stonewatch.de/media/download/sc%2004.pdf [accessed: 1.11.2019].
  • [7] Avilés S., Introduzione alla conservazione della Roccia Scolpita di Samaipata, Bolivia, 2011, http://www.rupestreweb.info/samaipata. html [accessed: 1.11.2019].
  • [8] Avilés S., La conservación de la Roca Sagrada de Samaipata, [in:] A. Meyers, I. Combès (comp.), El Fuerte de Samaipata. Estudios arqueológicos, Universidad Autónoma Gabriel René Moreno, Santa Cruz de la Sierra 2015, 161–170.
  • [9] Monserrat O., Crosetto M., Deformation measurement using terrestrial laser scanning data and least squares 3D surface matching, “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences” 2008, Vol. 63, Iss. 1, 142–154, doi: 10.1016/j.isprsjprs.2007.07.008.
  • [10] Gordon S., Lichti D., Stewart M., Application of a high-resolution, ground-based laser scanner for deformation measurements, “New Techniques in Monitoring Surveys I, Proceedings of 10th FIG International Symposium on Deformation Measurements” 2001, Orange, California, 23–32, http://webarchiv.ethz.ch/geometh-data/student/eg1/2006/14/HPLAserscanning.pdf [accessed: 20.09.2019].
  • [11] CloudCompare open-source software, http://www.cloudcompare.org/ [accessed: 20.09.2019].
  • [12] Barnes A., Goodmaster C., Vranich A. et al., The El Fuerte de Samaipata 3D Scanning Project 2005, http://www.cast.uark.edu/samaipata/index.html [accessed: 20.09.2019].
  • [13] ILRIS 3D Datasheet, https://www.laserscanningeurope.com/sites/default/files/Optech/ILRIS-Datenblatt.pdf [accessed: 20.09.2019].
  • [14] Leica ScanStation P40/P30, https://leica-geosystems.com/pl-pl/products/laser-scanners/scanners/leica-scanstation-p40--p30 [accessed: 20.09.2019].
  • [15] Besl P.J., McKay M.D., A method for registration a 3D shape, “IEEE Transactions of Pattern Analysis and Machine Intelligence” 1992, Vol. 14, Iss. 2, 239–256, doi: 10.1109/34.121791.
  • [16] Chen Y., Medioni G.G., Object Modeling by Registration of Multiple Range Images, “Proceedings. 1991 IEEE International Conference on Robotics and Automation” 1992, Vol. 10, No. 3, 2724– 2729, doi: 10.1109/ROBOT.1991.132043.
  • [17] Zhang Z., Iterative point matching for registration of free-form curves and surfaces, “International Journal of Computer Vision” 1994, Vol. 13, No. 2, 119–152, doi: 10.1007/BF01427149.
  • [18] Akca D., Least Squares 3D Surface Matching, Institut für Geodäsie und Photogrammetrie Eidgenössische Technische Hochschule Zürich, Zurich 2017.
  • [19] Gruen A., Akca D., Least Squares 3D Surface and curve Matching, “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences” 2005, Vol. 59, Iss. 3, 151–174, doi: 10.1016/j.isprsjprs.2005.02.006.
  • [20] Barrile V., Meduri G.M., Bilotta G., Least Squares 3D Algorithm for the Study of Deformations with Terrestrial Laser Scanner, [in:] V. Mladenov (ed.), Recent Advances in Electronics, Signal Processing and Communication Systems. Proceedings of the 2013 International Conference on Electronics, Signal Processing and Communication Systems, Venice, 2013, 162–165, https://www.researchgate.net/publication/280731000_Least_Squares_3D_Algorithm_for_the_Study_of_Deformations_with_Terrestrial_Laser_Scanner [accessed: 1.11.2019].
  • [21] Monserrat O., Crosetto M., Pucci B., TLS deformation measurement using ls3d surface and curve matching, “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences” 2008, Vol. 37, 591–596, doi: 10.1016/j.isprsjprs.2007.07.008.
  • [22] Girardeau-Montaut D., Roux M., Marc R. et al., Change detection on point cloud data acquired with a ground laser scanner, [in:] G. Vosselman, C. Brenner (eds.), Proceedings of the ISPRS Workshop Laser scanning 2005, ISPRS Archives, International Institute for Geo-Information Science and Earth Observation, Enschede, 2005, Vol. 36, 30–35, https://www.isprs.org/proceedings/XXXVI/3-W19/papers/030.pdf [accessed: 1.11.2019].
  • [23] https://www.cloudcompare.org/doc/wiki/index.php?title=Distances_Computation [accessed: 1.11.2019].
  • [24] Guarnieri A., Milan N., Vettore A., Monitoring of Complex Structure for Structural Control Using Terrestrial Laser Scanning (TLS) and Photogrammetry, “International Journal of Architectural Heritage” 2013, Vol. 7, Iss. 1, 54–67, doi: 10.1080/15583058.2011.606595.
  • [25] Park H.S., Lee H.M., Adeli H. et al., A New Approach for Health Monitoring of Structures: Terrestrial Laser Scanning, “Computer-Aided Civil and Infrastructure Engineering” 2007, Vol. 22, Iss. 1, 19–30, doi: 10.1111/j.1467-8667.2006.00466.x.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a65bf7fd-e878-49a7-8640-97dd87af8253
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