Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D

We propose a model-based approach to automated 3D extraction of buildings from aerial images. We focus on a reconstruction strategy that is not restricted to a small class of buildings. Therefore, we employ a generic modeling approach which relies on the well-defined combination of building part mod...

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Bibliographic Details
Published in:Computer vision and image understanding Vol. 72; no. 2; pp. 185 - 203
Main Authors: Fischer, André, Kolbe, Thomas H., Lang, Felicitas, Cremers, Armin B., Förstner, Wolfgang, Plümer, Lutz, Steinhage, Volker
Format: Journal Article
Language:English
Published: Elsevier Inc 01.11.1998
Subjects:
building modeling
coupling of 2D and 3D modeling
midlevel feature aggregates
explicit 2D modeling
multilayer aggregation
constraint logic programming
multiimage correspondence analysis
aspect hierarchies
ISSN:1077-3142, 1090-235X
Online Access:Get full text
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Summary:We propose a model-based approach to automated 3D extraction of buildings from aerial images. We focus on a reconstruction strategy that is not restricted to a small class of buildings. Therefore, we employ a generic modeling approach which relies on the well-defined combination of building part models. Building parts are classified by their roof type. Starting from low-level image features we combine data-driven and model-driven processes within a multilevel aggregation hierarchy, thereby using a tight coupling of 2D image and 3D object modeling and processing, ending up in complex 3D building estimations of shape and location. Due to the explicit representation of well-defined processing states in terms of model-based 2D and 3D descriptions at all levels of modeling and data aggregation, our approach reveals a great potential for reliable building extraction.
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ISSN:1077-3142
1090-235X
DOI:10.1006/cviu.1998.0721