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- aggregation classification "D1".
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 1977486.bibtex.
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- aggregation hasFormat 1977486.dc.
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- aggregation isPartOf urn:isbn:9789461970053.
- aggregation language "eng".
- aggregation publisher "Ghent University. Faculty of Sciences".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Earth and Environmental Sciences".
- aggregation title "Assessing 3D city models automatically extracted from high resolution spaceborne images".
- aggregation 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.".
- aggregation authorList BK2670.
- aggregation aggregates 4335824.
- aggregation isDescribedBy 1977486.
- aggregation similarTo LU-1977486.