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Digital Photogrammetry

  • Joseph L. AwangeEmail author
  • John B. Kyalo Kiema
Chapter
Part of the Environmental Science and Engineering book series (ESE)

Abstract

One of the most fundamental developments in the history of photogrammetry has been the transition from analytical to digital photogrammetry. This was realized in the early 1990s through softcopy-based systems or Digital Photogrammetric Workstations (DPWs). Today, on the one hand, initial applications of digital photogrammetry in performing routine and operational procedures, such as aerial triangulation and map revision, as well as in generating geospatial datasets, including digital elevation models (DEMs) and digital orthophotos, have been essentially standardized. On the other hand, system development in automated feature extraction for diverse geospatial features have been continually improved and refined.

Keywords

Geographic Information System Image Match Fiducial Mark Digital Imagery Digital Photogrammetry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Agouris P, Doucette P, Stefanidis A (2001) Automation and digital photogrammetric workstations. In: McGlone C, Mikhail E, Bethel J (eds) Manual of photogrammetry. Am Soc Photogramm Remote Sens 5:949–981Google Scholar
  2. Agouris P, Doucette P, Stefanidis A (2002) Automated road extraction from high resolution multispectral imagery technical report. Digital image processing and analysis laboratory, Deaprtment of Spatial Information Science and Engineering. University of Maine, Orono, MaineGoogle Scholar
  3. Atkinson KB (ed) (2000) Close range photogrammetry and machine vision. Whittles Publishing, CaithnessGoogle Scholar
  4. Baumgartner A, Steger C, Mayer H, Eckstein W, Ebner H (1999) Automatic road extraction based on multi-stage, grouping and context. Photogramm Eng Remote Sens 65(7):777–785Google Scholar
  5. Gruen A, Baltsavias EP, Henricsson O (eds) (1997) Automatic extraction of man-made objects from aerial and space images (II). Birkhäuser Basel, BaselGoogle Scholar
  6. Gulch E, Muller H, Labe T (1999) Integration of automatic processes into semi-automatic building extraction. Int Arch Photogramm Remote Sens 32(3):177–186Google Scholar
  7. Harvey W (1999) Performance evaluation for road extraction. Bulletin de la Societé Francaise de Photogrammetrie et Télèdetection 153(1999–1):79–87Google Scholar
  8. Irvin R, McKeown D (1989) Methods for exploiting the relationship between buildings and their shadows in aerial imagery. IEEE Trans Syst Man Cybern 19(6):1564–1575CrossRefGoogle Scholar
  9. Lue Y (1995) Fully operational automatic interior orientation. In: Proceedings of Geoinformatics 1995, pp 26–35Google Scholar
  10. McKeown D, Denlinger J (1988) Cooperative methods for road tracking in aerial imagery. In: IEEE Proceedings of the computer vision and pattern recognition, Ann Arbor, MIGoogle Scholar
  11. Mena JB (2003) State of the art on automatic road extraction for GIS update: a novel classification. Pattern Recognit Lett 24(16):30373058CrossRefGoogle Scholar
  12. Novak K (1992) Rectification of digital imagery. Photogramm Eng Remote Sens 58(3):339–344Google Scholar
  13. Rottensteiner F (2001) Semi-automatic extraction of buildings based on hybrid adjustment using surface models and management of building data in a TIS. Ph.D. Dissertation, Vienna University of TechnologyGoogle Scholar
  14. Schenk T (2005) Introduction to photogrammetry. The Ohio State University, ColumbusGoogle Scholar
  15. Schickler W, Poth Z (1996) Automatic interior orientation and its daily use. Int Arch Photogramm Remote Sens XXXI(B3):746–751Google Scholar
  16. Shufelt J (1999) Performance evaluation and analysis of monocular building extraction from aerial imagery. IEEE Trans Pattern Anal Mach Intell 21(4):311–326CrossRefGoogle Scholar
  17. Trinder JC, Wang Y (1998) Automatic road extraction from aerial images. Digit Signal Process 8(4):215–224CrossRefGoogle Scholar
  18. Weidner U, Förstner W (1995) Towards automatic building extraction from high-resolution digital elevation models. ISPRS J Photogramm Remote Sens 50(4):38–49CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Spatial SciencesCurtin University of TechnologyPerthAustralia
  2. 2.Karlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.Kyoto UniversityKyotoJapan
  4. 4.School of EnvironmentMaseno UniversityKisumuKenya
  5. 5.Geospatial and Space TechnologyUniversity of NairobiNairobiKenya

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