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Georeferencing of close range photogrammetric data

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents some general approaches for indirect georeferencing of close range photogrammetric data being acquired for various applications by the imaging systems of different types either independently or in integration. Various digital metric or non-metric cameras and terrestrial laser scanning systems, which register the objects to determine their shape and location, can be located either on the MMS moved vehicles or on the terrestrial stable stands. Various factors, such as objects’ location, dimension and shape as well as the form of data required and type of the photogrammetric imaging systems have the major effect on the approach to be used for georeferencing of photogrammetric data. In case of dynamic collection of imaging data, direct georeferencing is required. In this case, the GPS/INS systems of adequate accuracy for direct georeferencing of registered data, have to be ensured. Such systems allow to orient all collected data (cloud of points or discrete points for the objects) in the uniform coordinate system which can be later re-transformed to the final reference system in post processing stage. In case of imaging by the conventional metric or non-metric cameras located on the terrestrial stable stands, indirect georeferencing of data is usually executed in the post-processing stage. In many of close range applications, data collected by one or more photogrammetric acquisition systems located in various positions around the object, are integrated. This requires determination of orientation of all sets of photogrammetric data in the same reference system, which for close range applications is usually arbitrary selected. The indirect georeferencing approaches of close range imagery data require always a few control data, mostly points, either for a block of images or for each separate image/model. The methods are classified into two general groups: (1) multi-image exterior orientation, including self calibration, for orientation of images of similar or different scale and geometry taken by the metric and/or non metric cameras, in simultaneous adjustment of all photogrammetric data, and (2) the sequential. orientation of each image or model. The spatial location of control data for orientation of the block or separate model / image is determined either by the field survey or from the set of data already georeferenced, which were collected earlier by close range photogrammetric methods. In this paper, some approaches of indirect georeferencing of photogrammetric data for the selected objects, obtained only from imagery taken by metric and nonmetric cameras or in integration with data from terrestrial laser scanning, are presented.
Rocznik
Tom
Strony
91--104
Opis fizyczny
Bibliogr. 17 poz.
Twórcy
  • Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, Warsaw, Poland
autor
  • Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, Warsaw, Poland
autor
  • Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, Warsaw, Poland
Bibliografia
  • 1. Aguilera, D.G, Lahoz J. G., (2006). Laser scanning or Image-based Modeling? A Comparative through the Modelization of San Nicolas Church. International Archives of Photogrammetry and Remote Sensing, Volume XXXVI, B5, Dresden
  • 2. Alshawabkeh,Y., Haala, N., (2004). Integration of Digital Photogrammetry and Laser Scanning for Heritage Documentation. International Archives of Photogrammetry and Remote Sensing, Volume XXXV, B5 , Istambul
  • 3. Bujakiewicz A., Kowalczyk M., Podlasiak P., Zawieska D., (2006 a). ‘Calibration of Very Close Range Digital Cameras’. Journal of the Polish Academy of Sciences ‘Geodezja i Kartografia’ (in English), pp. 95-108.
  • 4. Bujakiewicz A, Kowalczyk M, Podlasiak P, Zawieska D, (2006 b). ‘3D Reconstruction and Modeling of the Contact Surfaces for the Archeological Small Museum Pieces’. International Archives of Photogrammetry & Remote Sensing. Vol. XXXVI Part 5. Dresden pp. 56-61
  • 5. Bujakiewicz A., Kowalczyk M., Podlasiak P., Zawieska D., (2008). Automatic Maching of Sculpture Fragments as Modern Tool for Archaeological Verification of Hypotheses on their Origin. International Archives of Photogrammetry and Remote Sensing, Volume XXXVII, B5 , Beijing
  • 6. Bujakiewicz A, Arcisz M, Zawieska D (2008). The Use of Multiscale Images for Data Bases of 3D Architectural Objects. Archives of Photogrammetry, Cartography and Remote Sensing, Vol.18a, pp. 39-48
  • 7. Bakuła K., (2010) Comparison of the object shape generated from digital images and laser scanning. MSc Diploma thesis, Warsaw University of Technology.
  • 8. Dominik W., (2008). Generation of Realistic 3D Model from Terrestrial Laser Scanning and Imagery Data. MSc Diploma thesis, Warsaw University of Technology.
  • 9. Guarnieri A., Vettorea A., El-Hakim S., Gonzoc L., (2004). Digital Photogrammetry and Laser Scanning in Cultural Heritage Servey, International Archives of Photogrammetry and Remote Sensing, Volume XXXV, B5. Istambul
  • 10. Guarnieri A., Remondino F., Vettore A. (2006). Digital Photogrammetry and TLS Data Fusion Applied to Cultural Heritage 3D Modeling. International Archives of Photogram., Remote Sensing. Vol. XXXVI Part 5. Dresden.
  • 11. Habrouk H.E., Li, X.P., Faig, W., (1996). Determination of Geometric Characteristics of a Digital Camera by Self-Calibration, International Archives of Photogrammetry and Remote Sensing, Volume XXXI, Part B1, Vienna, pp.60-64
  • 12. Jansa J., Studnicka N., Forkert G., Haring A., Kager H., (2004). Terrestrial Laserscanning and Photogrammetry -Aquisition techniques complementing one another. International Archives of Photogrammetry and Remote Sensing, Volume XXXV, B5. Istambul.
  • 13. Lisowska P., (2007). Use of Digital Photogrammetry for Architectural Inventory. Eng. Diploma thesis, Warsaw University of Technology.
  • 14. Piotrowska M., (2008). Compilation of Photogrammetric Products for 3D GIS Data Base of Architectural Object. MSc Diploma thesis, Warsaw University of Technology.
  • 15. Remondino F., El-Hakim S., Baltsavias E., Picard M, Grammatikopoulos L., (2008). Image-based 3D modeling of the Erechteion, Acropolis of Athens. International Archives of Photogrammetry and Remote Sensing, Vol. XXXVII, B5 Beijing
  • 16. Sawicki, P., (2001). Solution of Terratriangulation with Self-calibration of Digital Cameras in Precise Measurements for Engineering, Archiwum Fotogrametrii, Kartografii i Teledetekcji, Vol. 11, pp. 3/25-3/32
  • 17. Turkiewicz J., (2006). Terrestrial laser scanning data post-processing combined with digital imaging. MSc Diploma thesis,Warsaw University of Technology.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7e0f9167-176a-4075-a290-1bc77b45a3f2
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