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Assessing 3D city models automatically extracted from high resolution spaceborne images

Frederik Tack UGent (2012)
abstract
The growing importance of cities and the vital need for urban studies or urban environmental management result in an increasing demand for detailed elevation information. Notwithstanding many efforts in the photogrammetric and computer vision fields, highly automated 3D reconstruction of an urban environment remains, however, a complex problem. As there is still a lot of space for improvement and innovation, research in this field is considered both challenging and relevant. This dissertation focuses on the development and assessment of approaches and methodologies to improve the generation of high quality 3D city surface models, extracted photogrammetrically from (very) high resolution satellite imagery (e.g. Ikonos and Quickbird). Surface model generation improvement needs to be interpreted firstly as reduction of the impact of distortions inherent in 3D reconstruction from 2D imagery and secondly as enhancement of the overall surface model quality, mainly in terms of altimetric accuracy and 3D building reconstruction. The research described gives an insight into both the importance and the applicability of 3D descriptions of urban environments. The potential of high resolution satellite imagery for surface modeling is emphasized. Furthermore, the discussions provide a clear understanding of the problematic nature of urban DSM generation and 3D building reconstruction based on spaceborne imagery. Experimental results are encouraging, both from a qualitative and a quantitative perspective, and the findings offer a range of new perspectives. This work definitely contributes and responds to the need for high quality city surface models. It increases the flexibility of producing computer-based 3D descriptions from built-up areas and facilitates subsequent applications and urban planning studies. Indirectly, the work contributes to the exploitation and investigation of the opportunities and limitations of earth observation data.
Please use this url to cite or link to this publication:
author
promoter
UGent and Gürçan Büyüksalih
organization
year
type
dissertation (monograph)
subject
keyword
3D city modeling, DSM, Photogrammetry, Remote sensing, High resolution satellite imagery
pages
XIV, 277 pages
publisher
Ghent University. Faculty of Sciences
place of publication
Ghent, Belgium
defense location
Gent : Aula Universiteit
defense date
2012-01-12 16:00
ISBN
9789461970053
language
English
UGent publication?
yes
classification
D1
additional info
dissertation consists of copyrighted material
copyright statement
I have transferred the copyright for this publication to the publisher
id
1977486
handle
http://hdl.handle.net/1854/LU-1977486
date created
2012-01-03 17:08:03
date last changed
2012-01-04 08:53:41
@phdthesis{1977486,
  abstract     = {The growing importance of cities and the vital need for urban studies or urban environmental management result in an increasing demand for detailed elevation information. Notwithstanding many efforts in the photogrammetric and computer vision fields, highly automated 3D reconstruction of an urban environment remains, however, a complex problem. As there is still a lot of space for improvement and innovation, research in this field is considered both challenging and relevant. This dissertation focuses on the development and assessment of approaches and methodologies to improve the generation of high quality 3D city surface models, extracted photogrammetrically from (very) high resolution satellite imagery (e.g. Ikonos and Quickbird). Surface model generation improvement needs to be interpreted firstly as reduction of the impact of distortions inherent in 3D reconstruction from 2D imagery and secondly as enhancement of the overall surface model quality, mainly in terms of altimetric accuracy and 3D building reconstruction. The research described gives an insight into both the importance and the applicability of 3D descriptions of urban environments. The potential of high resolution satellite imagery for surface modeling is emphasized. Furthermore, the discussions provide a clear understanding of the problematic nature of urban DSM generation and 3D building reconstruction based on spaceborne imagery. Experimental results are encouraging, both from a qualitative and a quantitative perspective, and the findings offer a range of new perspectives. This work definitely contributes and responds to the need for high quality city surface models. It increases the flexibility of producing computer-based 3D descriptions from built-up areas and facilitates subsequent applications and urban planning studies. Indirectly, the work contributes to the exploitation and investigation of the opportunities and limitations of earth observation data.},
  author       = {Tack, Frederik},
  isbn         = {9789461970053},
  keyword      = {3D city modeling,DSM,Photogrammetry,Remote sensing,High resolution satellite imagery},
  language     = {eng},
  pages        = {XIV, 277},
  publisher    = {Ghent University. Faculty of Sciences},
  school       = {Ghent University},
  title        = {Assessing 3D city models automatically extracted from high resolution spaceborne images},
  year         = {2012},
}

Chicago
Tack, Frederik. 2012. “Assessing 3D City Models Automatically Extracted from High Resolution Spaceborne Images”. Ghent, Belgium: Ghent University. Faculty of Sciences.
APA
Tack, Frederik. (2012). Assessing 3D city models automatically extracted from high resolution spaceborne images. Ghent University. Faculty of Sciences, Ghent, Belgium.
Vancouver
1.
Tack F. Assessing 3D city models automatically extracted from high resolution spaceborne images. [Ghent, Belgium]: Ghent University. Faculty of Sciences; 2012.
MLA
Tack, Frederik. “Assessing 3D City Models Automatically Extracted from High Resolution Spaceborne Images.” 2012 : n. pag. Print.