Context-based urban terrain reconstruction from uav-videos for geoinformation applications

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Bulatov, D.; Solbrig, P.; Gross, H.; Wernerus, P.; Repasi, E. et al.: Context-based urban terrain reconstruction from uav-videos for geoinformation applications. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [International Conference On Unmanned Aerial Vehicle In Geomatics (UAV-G)] 38-1 (2011), Nr. C22, S. 75-80. DOI: https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-75-2011

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Sum total of downloads: 119




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Abstract: 
Urban terrain reconstruction has many applications in areas of civil engineering, urban planning, surveillance and defense research. Therefore the needs of covering ad-hoc demand and performing a close-range urban terrain reconstruction with miniaturized and relatively inexpensive sensor platforms are constantly growing. Using (miniaturized) unmanned aerial vehicles, (M) UAVs, represents one of the most attractive alternatives to conventional large-scale aerial imagery. We cover in this paper a four-step procedure of obtaining georeferenced 3D urban models from video sequences. The four steps of the procedure - orientation, dense reconstruction, urban terrain modeling and geo-referencing - are robust, straight-forward, and nearly fully-automatic. The two last steps - namely, urban terrain modeling from almost-nadir videos and co-registration of models - represent the main contribution of this work and will therefore be covered with more detail. The essential substeps of the third step include digital terrain model (DTM) extraction, segregation of buildings from vegetation, as well as instantiation of building and tree models. The last step is subdivided into quasi-intrasensorial registration of Euclidean reconstructions and intersensorial registration with a geo-referenced orthophoto. Finally, we present reconstruction results from a real data-set and outline ideas for future work.
License of this version: CC BY 3.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2011
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 92 77.31%
2 image of flag of China China 5 4.20%
3 image of flag of United States United States 4 3.36%
4 image of flag of Australia Australia 4 3.36%
5 image of flag of Poland Poland 3 2.52%
6 image of flag of Russian Federation Russian Federation 2 1.68%
7 image of flag of Netherlands Netherlands 2 1.68%
8 image of flag of Korea, Republic of Korea, Republic of 2 1.68%
9 image of flag of Vietnam Vietnam 1 0.84%
10 image of flag of Belarus Belarus 1 0.84%
    other countries 3 2.52%

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