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Link to original content: https://doi.org/10.1007/978-0-387-31439-6_139
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Photogrammetry

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Computer Vision

Definition

Photogrammetry is the science and technology of obtaining information about the physical environment from images, with a focus on applications in surveying, mapping and high-precision metrology. The aim of photogrammetry is to provide automated or semi-automated procedures for these engineering tasks, with an emphasis on a specified accuracy, reliability and completeness of the extracted information.

Background

Photogrammetry is a long-established engineering discipline, which dates back to the middle of the nineteenth century, shortly after the invention of the photographic process. It has its roots in surveying, predominantly for aerial mapping of the earth's surface, although terrestrial “close-range” photogrammetry has always been an integral part of the discipline. Traditionally photogrammetry has emphasized 3D geometricmodeling of the environment, since in an interactive setting this implicitly encompassed the semantic interpretation of the image content. The use of...

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References

  1. Abdel-Aziz YI, Karara HM (1971) Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Proceedings of the Symposium on Close-Range Photogrammetry, Falls Church, VA, pp 1–18

    Google Scholar 

  2. Brown DC (1958) A solution to the general problem of multiple station analytical stereotriangulation. RCA-MTP Data Reduction Technical Report No. 43, Patrick Airforce Base, FL

    Google Scholar 

  3. Finsterwalder S (1897) Die geometrischen Grundlagen der Photogrammetrie. Jahresbericht der Deutschen Mathematiker-Vereinigung 6(2):1–41

    MATH  Google Scholar 

  4. Grabner H, Nguyen TT, Gruber B, Bischof H (2007) On-line boosting-based car detection from aerial images. ISPRS J Photogramm Remote Sens 63(3):382–396

    Article  Google Scholar 

  5. Grunert JA (1841) Das Pothenotische Problem in erweiterter Gestalt nebst Über seine Anwendungen in der Geodäsie. Grunerts Archiv für Mathematik und Physik 1: 238–248

    Google Scholar 

  6. Hartley RI, Zisserman A (2004) Multiple view geometry in computer vision, 2nd edn. Cambridge University Press, Cambridge/New York

    Book  MATH  Google Scholar 

  7. Helava UV (1978) Digital correlation on photogrammetric instruments. Photogrammetria 34(1):19-41

    Article  Google Scholar 

  8. Kelly RE, McConnell PRH, Mildenberger SJ (1977) The Gestalt photomapping system. Photogramm Eng Remote Sens 42(11):1407–1417

    Google Scholar 

  9. Kraus K (2007) Photogrammetry: geometry from images and laser scans, 2nd edn. Walter de Gruyter, Berlin/ New York

    Book  Google Scholar 

  10. Luhmann T, Robson S, Kyle S, Harley I (2006) Close Range Photogrammetry: Principles, Techniques and Applications. Whittles, Dunbeath

    Google Scholar 

  11. Mayer H, Laptev I, Baumgartner A (1998) Multi-scale and snakes for automatic road extraction. Proceedings of the 5th European Conference on Computer Vision (ECCV), Freiburg, Germany, pp 720–733

    Google Scholar 

  12. Mayer H (2008) Object extraction in photogrammetric computer vision. ISPRS J Photogramm Remote Sens 63(2): 213–222

    Article  Google Scholar 

  13. McGlone JC (ed.) (2013) Manual of Photogrammetry. 6th edn. American Society for Photogrammetry and Remote Sensing, Virginia

    Google Scholar 

  14. McKeown DM, Harvey WA, McDermott J (1985) Rule-Based interpretation of aerial imagery. IEEE Trans Pattern Anal Mach Intell 7(5):570–585

    Article  Google Scholar 

  15. Paderes FC, Mikhail EM, Förstner W (1984) Rectification of single and multiple frames of satellite scanner imagery using points and edges as control. NASA Symposium in Mathematical Pattern Recognition and Image Analysis. Houston, TX, pp 309–400

    Google Scholar 

  16. Stoica R, Descombes X, Zerubia J (2004) A Gibbs point process for road extraction in remotely sensed images. Int J Comput Vis 57(2):121–136

    Article  Google Scholar 

  17. Vosselman G, Mass H-G (eds) (2010) Airborne and terrestrial laser scanning. Whittles, Dunbeath

    Google Scholar 

  18. Weidner U, Förstner W (1995) Towards automatic building extraction from high-resolution digital elevation models. ISPRS J Photogramm Remote Sens 50(4): 38–49

    Article  Google Scholar 

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Schindler, K., Förstner, W. (2014). Photogrammetry. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_139

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