Abstract
The acquisition of 3D models of buildings and other man-made objects is currently an issue of high importance to many users of geoinformation, including planners, geographers, architects, etc. Aerial imagery has proven to be a valuable data source for these models. The project AMOBE1, a joint research effort between the photogrammetry and image sciences groups at ETH, aims firstly at developing practical algorithms to support the semi-automatic reconstruction of man-made objects from aerial imagery and secondly, at developing improved techniques for automatic digital terrain and surface model generation. In the latter case it is important to differentiate between terrain models (DTMs), which model the terrain, and surface models (DSMs), which model all 3D objects. In this paper, we explore the roles of both DTMs and DSMs and their derived products orthoimages in supporting the extraction of buildings from aerial imagery. In Section 3 the quality of commercially available automatic DTM/DSM generation software is investigated. In Section 4 a number of methods for automatically detecting buildings in DSMs are presented and evaluated. In Section 5, the use of DSMs in deriving coarse building models is described. Applications of orthoimages are discussed in Section 6. First, however, the fundamental assumptions and strategy employed in AMOBE is outlined. Note finally that the techniques and tests described in this paper constitute preliminary investigations. Promising directions, as noted, are the subject of ongoing research.
1. Support for this research by ETH under project 13–1993–4 is gratefully acknowledged. The project is entitled “Automation of Digital Terrain Model Generation and Man-Made Object Extraction from Aerial Images” (AMOBE).
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References
Baltsavias, E., 1991. Multiphoto Geometrically Constrained Matching, Ph. D. dissertation, Institute of Geodesy and Programmetry, ETH Zurich, Mitteilungen No. 49,221 p.
Baltsavias, E., 1993. Integration of ortho-images in GIS, Photogrammetric Week ′93, D. Fritsch and D. Hobbie (Eds.), Wichmann Verlag, Karlsruhe, pp. 261–272.
Boulanger, P., 1994. Multiscale Edge Detection Based on a New Geometrically Intrinsic Filter, SPIE Vol. 2350, Videometrics m, pp. 264–278.
Carosio, A., S. Nebiker, 1995. Automatic Extraction and Structuring of Objects from Scanned Topographic Maps — An Alternative to the Extraction from Aerial and Space Images?, Workshop on Automatic Extraction of Man-Made Objects from Aerial and Space Images, Ascona.
Henricsson, O., 1995. Inferring Homogeneous Regions from Rich Image Attributes, Workshop on Automatic Extraction of Man-Made Objects from Aerial and Space Images, Ascona.
Mason, S., E. Baltsavias, D. Stallmann, 1994. High Precision Photogrammetric Data Set for Building Reconstruction and Terrain Modelling, Institute of Geodesy and Photogrammetry, ETH Zurich, Internal Report.
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© 1995 Birkhäuser Verlag Basel
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Baltsavias, E., Mason, S., Stallmann, D. (1995). Use of DTMs/DSMs and Orthoimages to Support Building Extraction. In: Gruen, A., Kuebler, O., Agouris, P. (eds) Automatic Extraction of Man-Made Objects from Aerial and Space Images. Monte Verità. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-9242-1_19
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DOI: https://doi.org/10.1007/978-3-0348-9242-1_19
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