Дослідження точності хмари точок методом наземного лазерного сканування

dc.citation.epage49
dc.citation.issue90
dc.citation.journalTitleГеодезія, картографія і аерофотознімання
dc.citation.spage41
dc.contributor.affiliationНаціональний університет “Львівська політехніка”
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorГлотов, В. М.
dc.contributor.authorМарусаж, Х. І.
dc.contributor.authorHlotov, V.
dc.contributor.authorMarusazh, Kh.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-02-13T10:51:24Z
dc.date.available2023-02-13T10:51:24Z
dc.date.created2019-03-12
dc.date.issued2019-03-12
dc.description.abstractВиконано експеримент, який полягав у дослідженні хмар точок, а саме їх щільності, інтервалу між точками, змін інтенсивності залежно від зміни відстані та кольору поверхні сканування. Для досліджень використано наземний лазерний сканер Faro Focus 3D S120. Як тестову марку обрано шліфовану скляну платівку розміром 30×30 см, яку було двічі покрито аерозолем із білоюматовоюфарбоюз відбивноюздатністю близько 80 % з однієї сторони марки та чорною матовою фарбою з відбивною здатністю близько 20 % з іншої сторони марки. Для виконання експериментальних робіт тестову марку встановлювали на підставку штатива за допомогою втулки, яка кріпиться до марки. Марку розташовували білою стороною на відстані 0,6 м від наземного лазерного сканера та виконували сканування. Потім марку обертали чорною стороною та повторювали сканування. Виміри повторювали на відстанях 1,5 м, 3 м, 5 м, 10 м. Загалом отримано 10 сканів. Значення інтенсивності експортовано з хмари точок за допомогою стандартного програмного забезпечення Faro SCENE. Для оцінювання результатів дослідження проаналізовано графіки розподілу хмар точок у площинах YX та YZ фрагментів білої та чорної сторін марок, інтенсивності відбитого лазерного випромінювання та стандартне відхилення значень інтенсивності. Подано та проаналізовано вплив якісно-кількісних характеристик об’єкта сканування на точність побудови хмар точок наземним лазерним сканером Faro Focus 3D S120.
dc.description.abstractTerrestrial laser scanning is a powerful method for collecting spatial data. This method of remote sensing allows fast, non-contact and precise measurement of objects. Terrestrial laser scanning systems deliver 3D coordinates and the power of the backscattered laser scan signal of each point which registered it as an intensity value. Intensity values are affected by the characteristic of the measured object and the parameters of the environment. The backscattered electromagnetic signal is influenced in its strength by the reflectivity of the scanned object surface, the incidence angle, the distance between laser scanner and object and the atmospheric respectively system specific setting of the TLSmeasurement. Since details about system internal alteration of the signal are often unknown to the user, model driven approaches are impractical. On the other hand, existing data driven calibration procedures require laborious acquisition of separate reference datasets or areas of homogenous reflection characteristics from the field data. Therefore, the impact of qualitative and quantitative characteristics of the scanning object for accuracy investigation of point clouds with the Faro Focus 3D S120 terrestrial laser scanner is the aim of work. Methods. According to the tasks, an experiment was performed, which was to investigation the point clouds: density, interval between points, and intensity changes with distance and color of the scanning object. Faro Focus 3D S120 terrestrial laser scanner was used for the research. As a special test target was chosen a polished glass plate with size 30 cm × 30 cm, which was twice covered with an aerosol with white matte paint with a reflectivity of about 80% on one side of the target and black matte paint with a reflectivity of about 20 % on the other side of the target. To perform the experimental work, the test target was mounted on a tripod using a sleeve that attaches to the target. The target was placed on the white side at a distance of 0.6 m from the terrestrial laser scanner and was scanned. Then the target was turned to the black side and the scanning was repeated. The measurements were repeated at distances of 1.5 m, 3 m, 5 m and 10m. Our test data covers 10 terrestrial scans. The intensity values were exported from the point clouds using Faro SCENE software. Results. The results of the experimental work were considered for the fragments of point clouds of black and white sides of the test target (the size of the fragment is 15´15 points). The distribution of point clouds in the YX and YZ planes of the upper left and center fragments of the white and black sides of the targets, the intensity of the reflected signal and the standard deviation of the intensity values were analyzed. Scientific novelty. The influence of the qualitative and quantitative characteristics of the scanning object on the accuracy of point clouds construction with the Faro Focus 3D S120 laser scanner is presented and analyzed. Practical significance. The study will optimize the choice of terrestrial laser scanning settings based on the properties of the object and the scanning distance.
dc.format.extent41-49
dc.format.pages9
dc.identifier.citationГлотов В. М. Дослідження точності хмари точок методом наземного лазерного сканування / В. М. Глотов, Х. І. Марусаж // Геодезія, картографія і аерофотознімання. — Львів : Видавництво Львівської політехніки, 2019. — № 90. — С. 41–49.
dc.identifier.citationenHlotov V. Accuracy investigation of point clouds with faro focus 3d s120 terrestrial laser scanner / V. Hlotov, Kh. Marusazh // Geodesy, cartography and aerial photography. — Lviv : Lviv Politechnic Publishing House, 2019. — No 90. — P. 41–49.
dc.identifier.doidoi.org/10.23939/istcgcap2019.90.041
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57348
dc.language.isouk
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofГеодезія, картографія і аерофотознімання, 90, 2019
dc.relation.ispartofGeodesy, cartography and aerial photography, 90, 2019
dc.relation.referencesFARO Laser Scanner Focus 3D Manual (2013). URL: https://faro.app.box.com/s/.
dc.relation.referencesIngensand, H. (2006). Metrological aspects in terrestrial laser-scanning technology. In Proceedings of the 3rd IAG/12th FIG symposium, Baden, Austria (Vol. 2224).
dc.relation.referencesJaafar, H. A., Meng, X., & Sowter, A. (2018). Terrestrial laser scanner error quantification for the purpose of monitoring. Survey Review, 50(360), 232–248.
dc.relation.referencesMechelke, K., Kersten, T. P., & Lindstaedt, M. (2007). Comparative investigations into the accuracy behaviour of the new generation of terrestrial laser scanning systems. Proc. in the Optical, 3, 19–327.
dc.relation.referencesPesci, A., Teza, G., & Bonali, E. (2011). Terrestrial laser scanner resolution: Numerical simulations and experiments on spatial sampling optimization. Remote Sensing, 3(1), 167–184.
dc.relation.referencesReshetyuk, Y. (2009). Self-calibration and direct georeferencing in terrestrial laser scanning(Doctoral dissertation, KTH).
dc.relation.referencesSchulz, T., & Ingensand, H. (2004). Influencing variables, precision and accuracy of terrestrial laser scanners. In Proceedings of INGEO 2004 and FIG Regional Central and Eastern European Conference on Engineering
dc.relation.referencesSurveying, Bratislava, Slovakia.
dc.relation.referencesShan, J., & Toth, C. K. (2018). Topographic laser rangingand scanning: principles and processing. CRC press.
dc.relation.referencesShults, R. V., & Sossa, B. R. (2015). Systemne kalibruvannia nazemnykh lazernykh skaneriv: modeli ta metodyky [System calibration of terrestrial laser scanners: models and techniques]. Visnyk heodezii ta kartohrafii
dc.relation.references[Bulletin of geodesy and cartography], (2), 25–30.
dc.relation.referencesSoudarissanane, S. S. (2016). The geometry of terrestrial laser scanning; identification of errors, modeling and mitigation of scanning geometry. Soudarissanane, S., Lindenbergh, R., Menenti, M., & Teunissen, P. (2011).
dc.relation.referencesScanning geometry: Influencing factor on the quality of terrestrial laser scanning points. ISPRS journal of photogrammetry and remote sensing, 66(4), 389–399.
dc.relation.referencesStaiger, R. (2005). The geometrical quality of terrestrial laser scanner (TLS). In Proceedings of FIG Working Week (pp. 1–11).
dc.relation.referencesSun, X., Liu, Y., Yu, X., Wu, H., & Zhang, N. (2017). Three-dimensional measurement for specular reflection surface based on reflection component separation and priority region filling theory. Sensors, 17(1), 215.
dc.relation.referencesTan, K., Cheng, X., Ding, X., & Zhang, Q. (2015). Intensity data correction for the distance effect in terrestrial laser scanners. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(1), 304–312.
dc.relation.referencesTan, K., Zhang, W., Shen, F., & Cheng, X. (2018). Investigation of TLS intensity data and distance measurement errors from target specular reflections. Remote Sensing, 10(7), 1077.
dc.relation.referencesVoegtle, T., & Wakaluk, S. (2009). Effects on the measurements of the terrestrial laser scanner HDS 6000 (Leica) caused by different object materials. Proceedings of ISPRS Work, 38(2009), 68–74.
dc.relation.referencesenFARO Laser Scanner Focus 3D Manual (2013). URL: https://faro.app.box.com/s/.
dc.relation.referencesenIngensand, H. (2006). Metrological aspects in terrestrial laser-scanning technology. In Proceedings of the 3rd IAG/12th FIG symposium, Baden, Austria (Vol. 2224).
dc.relation.referencesenJaafar, H. A., Meng, X., & Sowter, A. (2018). Terrestrial laser scanner error quantification for the purpose of monitoring. Survey Review, 50(360), 232–248.
dc.relation.referencesenMechelke, K., Kersten, T. P., & Lindstaedt, M. (2007). Comparative investigations into the accuracy behaviour of the new generation of terrestrial laser scanning systems. Proc. in the Optical, 3, 19–327.
dc.relation.referencesenPesci, A., Teza, G., & Bonali, E. (2011). Terrestrial laser scanner resolution: Numerical simulations and experiments on spatial sampling optimization. Remote Sensing, 3(1), 167–184.
dc.relation.referencesenReshetyuk, Y. (2009). Self-calibration and direct georeferencing in terrestrial laser scanning(Doctoral dissertation, KTH).
dc.relation.referencesenSchulz, T., & Ingensand, H. (2004). Influencing variables, precision and accuracy of terrestrial laser scanners. In Proceedings of INGEO 2004 and FIG Regional Central and Eastern European Conference on Engineering
dc.relation.referencesenSurveying, Bratislava, Slovakia.
dc.relation.referencesenShan, J., & Toth, C. K. (2018). Topographic laser rangingand scanning: principles and processing. CRC press.
dc.relation.referencesenShults, R. V., & Sossa, B. R. (2015). Systemne kalibruvannia nazemnykh lazernykh skaneriv: modeli ta metodyky [System calibration of terrestrial laser scanners: models and techniques]. Visnyk heodezii ta kartohrafii
dc.relation.referencesen[Bulletin of geodesy and cartography], (2), 25–30.
dc.relation.referencesenSoudarissanane, S. S. (2016). The geometry of terrestrial laser scanning; identification of errors, modeling and mitigation of scanning geometry. Soudarissanane, S., Lindenbergh, R., Menenti, M., & Teunissen, P. (2011).
dc.relation.referencesenScanning geometry: Influencing factor on the quality of terrestrial laser scanning points. ISPRS journal of photogrammetry and remote sensing, 66(4), 389–399.
dc.relation.referencesenStaiger, R. (2005). The geometrical quality of terrestrial laser scanner (TLS). In Proceedings of FIG Working Week (pp. 1–11).
dc.relation.referencesenSun, X., Liu, Y., Yu, X., Wu, H., & Zhang, N. (2017). Three-dimensional measurement for specular reflection surface based on reflection component separation and priority region filling theory. Sensors, 17(1), 215.
dc.relation.referencesenTan, K., Cheng, X., Ding, X., & Zhang, Q. (2015). Intensity data correction for the distance effect in terrestrial laser scanners. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(1), 304–312.
dc.relation.referencesenTan, K., Zhang, W., Shen, F., & Cheng, X. (2018). Investigation of TLS intensity data and distance measurement errors from target specular reflections. Remote Sensing, 10(7), 1077.
dc.relation.referencesenVoegtle, T., & Wakaluk, S. (2009). Effects on the measurements of the terrestrial laser scanner HDS 6000 (Leica) caused by different object materials. Proceedings of ISPRS Work, 38(2009), 68–74.
dc.relation.urihttps://faro.app.box.com/s/
dc.rights.holder© Національний університет “Львівська політехніка”, 2019
dc.subjectназемний лазерний сканер
dc.subjectхмара точок
dc.subjectвідбиття
dc.subjectінтенсивність
dc.subjectterrestrial laser scanner
dc.subjectpoint cloud
dc.subjectreflection
dc.subjectintensity
dc.subject.udc528.71/72
dc.titleДослідження точності хмари точок методом наземного лазерного сканування
dc.title.alternativeAccuracy investigation of point clouds with faro focus 3d s120 terrestrial laser scanner
dc.typeArticle

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