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

Fischer, André; Kolbe, Thomas H.; Lang, Felicitas; Cremers, Armin B.; Förstner, Wolfgang; Plümer, Lutz; Steinhage, Volker

doi:10.1006/cviu.1998.0721

Cited by 125 publications

(85 citation statements)

References 52 publications

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“…The algorithm of (Vosselman and Dijkman 2001) is a generalization of the Hough-Transform for 3D dense point cloud. The image-based approach (Fischer et al 1998) is a combination of bottom-up (data-driven) and top-down (model-driven) processes that can be significantly simplified if precise and accurate 3D information for a dense set of pixels is available. In this present work, we are inspired by the simple and reliable method (Gross et al 2005) whose modifications for our applications are covered in the next sections.…”

Section: Previous Workmentioning

confidence: 99%

Context-Based Urban Terrain Reconstruction From Uav-Videos for Geoinformation Applications

Bulatov

Solbrig

Gross

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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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 quasiintrasensorial 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.

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Section: Previous Workmentioning

confidence: 99%

Context-Based Urban Terrain Reconstruction From Uav-Videos for Geoinformation Applications

Bulatov

Solbrig

Gross

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Most image-based approaches have focused on the reconstruction of specific building models: rectilinear shapes [1][2][3], flat roofs [4][5][6][7][8] or parametric models [9][10][11]. The image-based approach has the advantage of extracting outlines of roofs.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition

Fan

Yao

2014

Remote Sensing

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This paper presents a new approach for roof facet segmentation based on ridge detection and hierarchical decomposition along ridges. The proposed approach exploits the fact that every roof can be composed of a set of gabled roofs and single facets which are separated by the gabled roofs. In this work, firstly, building footprints stored in OpenStreetMap are used to extract 3D points on roofs. Then, roofs are segmented into roof facets. The algorithm starts with detecting roof ridges using RANSAC since they are parallel to the horizon and situated on the top of the roof. The roof ridges are utilized to indicate the location and direction of the gabled roof. Thus, points on the two roof facets along a roof ridge can be identified based on their connectivity and coplanarity. The results of the segmentation benefit the further process of roof reconstruction because many parameters, including the position, angle and size of the gabled roof can be calculated and used as priori knowledge for the model-driven approach, and topologies among the point segments are made known for the data-driven approach. The algorithm has been validated in the test sites of two towns next to Bavaria Forest national park. The experimental results show that building roofs can be segmented with both high correctness and completeness simultaneously.

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“…Brédif et al present a method including the parametric roof superstructure reconstruction using a Minimum Description Length energy minimization [9]. Several systems based on the Constructive Solid Geometry (CSG) representation have also been proposed [10] [11]. They combine single primitives by Boolean operations in order to obtain complete building models.…”

Section: Introductionmentioning

confidence: 99%

Structural Approach for Building Reconstruction from a Single DSM

Lafarge

Descombes

Zerubia

et al. 2010

IEEE Trans. Pattern Anal. Mach. Intell.

140

133

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Abstract-We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a library of 3D parametric blocks (like a LEGO R set). First, the 2D-supports of the urban structures are extracted either interactively or automatically. Then, 3D-blocks are placed on the 2D-supports using a Gibbs model which controls both the block assemblage and the fitting to data. A Bayesian decision finds the optimal configuration of 3D-blocks using a Markov Chain Monte Carlo sampler associated with original proposition kernels. This method has been validated on multiple data set in a wide resolution interval such as 0.7 m satellite and 0.1 m aerial DSMs, and provides 3D representations on complex buildings and dense urban areas with various levels of detail.

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

Cited by 125 publications

References 52 publications

Context-Based Urban Terrain Reconstruction From Uav-Videos for Geoinformation Applications

Context-Based Urban Terrain Reconstruction From Uav-Videos for Geoinformation Applications

Segmentation of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition

Structural Approach for Building Reconstruction from a Single DSM

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