Towards 3D map generation from digital aerial images

Zebedin, Lukas; Klaus, Andreas; Gruber-Geymayer, Barbara; Karner, Konrad

doi:10.1016/j.isprsjprs.2006.06.005

Cited by 81 publications

(49 citation statements)

References 13 publications

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“…Nevertheless, one common attribute is the quality and quantity of spatial data, more specifically the availability of accurate building models and other man-made features which could be used for PV production purposes. Nowadays very detailed and accurate 3D city models (Haala and Kada, 2010) are primarily created using very dense LiDAR data (Oude Elberink and Vosselmann, 2011;Jochem et al, 2011;Kassner et al, 2008;Zhou and Neumann, 2008;Rottensteiner et al, 2005), although there is an increasing number of approaches based on dense image matching algorithms Zebedin, et al, 2006) and on the integration of different data sources (Vallet et al, 2011;Demir et al, 2009). Generally, each building (and its roof facets) is described as a closed set of vector surfaces.…”

Section: Related Work and State Of The Artmentioning

confidence: 99%

3D Solarweb: A solar cadaster in the Italian Alpine landscape

Nex

Remondino

Agugiaro

et al. 2013

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

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ABSTRACT:The paper presents the research carried out in the on-going 3DSolarWeb project to test and implement a complete pipeline for the generation of a solar cadastre of building roofs located in alpine areas. The project aims at providing reliable results in a costeffective way, using (low resolution) available data and new aerial imagery acquisitions as input. The environmental context is digitally represented using already existing low resolution LiDAR data (1-2 m resolution), while the urban area is modelled using high resolution aerial images (10-20 cm GSD) and photogrammetric DSM. Reliable models and algorithms for the estimation of the incoming sun radiance are then adopted and a WebGIS is set up for the interactive calculation of the photovoltaic (PV) potential in a raster-based form. The paper summarizes the entire pipeline and the results (Figure 1) achieved on the test areas to show the potentialities of the method and the web-based service. a) b) c) Figure 1. Results of the photogrammetric DSM generation from aerial images (a), true orthophoto (b) and solar potential energy estimation visualized with the raster-based webGIS tool created within the 3DSolarWeb project (c).

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Section: Related Work and State Of The Artmentioning

confidence: 99%

3D Solarweb: A solar cadaster in the Italian Alpine landscape

Nex

Remondino

Agugiaro

et al. 2013

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

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“…The postings of the DSM and DTM are at two pixel intervals, thus far denser than traditional photogrammetry rules would support. The conversion of the surface model DSM into a Bald Earth Digital Terrain Model DTM is a post-process of the dense matching and has been described by Zebedin et al (2006).…”

Section: Source Datamentioning

confidence: 99%

“…We consider these to be an input into our characterization procedures. The classification approach used here has been described by Zebedin et al (2006 water, unclassified: red)…”

Section: Source Datamentioning

confidence: 99%

Building Façade Separation in Vertical Aerial Images

Meixner

Wendel

Bischof

et al. 2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Three-dimensional models of urban environments have great appeal and offer promises of interesting applications. While initially it was of interest to just have such 3D data, it increasingly becomes evident that one really would like to have interpreted urban objects.To be able to interpret buildings we have to split a visible whole building block into its different single buildings. Usually this is done using cadastral information to divide the single land parcels. The problem in this case is that sometimes the building boundaries derived from the cadastre are insufficiently accurate due to several reasons like old databases with lower accuracies or inaccuracies due to transformation between two coordinate systems. For this reason it can happen that a cadastral boundary coming from an old map is displaced by up to several meters and therefore divides two buildings incorrectly.To overcome such problems we incorporate the information from vertical aerial images. We introduce a façade separation method that is able to find individual building façades using multi view stereo. The purpose is to identify the individual façades and separate them from one another before on proceeds with the analysis of a façade's details. The source was a set of overlapping, thus "redundant" vertical aerial images taken by an UltraCam digital aerial camera.Therefore in a first step we determine the building block outlines using the building classification and use the height values from the Digital Surface Model (DSM) to determine approximate "façade quadrilaterals". We also incorporate height discontinuities using the height profiles along the building outlines to enhance our façade separation. In a next step we detect repeated pattern in these "façade images" and use them to separate the façades respectively building blocks from one another.We show that this method can be successfully used to separate building façades using vertical aerial images with a very high detection rate of 88%.

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“…Some detailed reviews of the techniques for the building reconstruction from aerial imagery were made by Mayer and Remondino [2,3]. The types of input imagery for 3D building reconstruction include single imagery [4,5] and multiple images [6][7][8]. When aerial imagery were used only for the building reconstruction, the low degree of automation during the matching process is the main limitation, especially when occlusions are present [9].…”

Section: Introductionmentioning

confidence: 99%

3D Building Roof Modeling by Optimizing Primitive’s Parameters Using Constraints from LiDAR Data and Aerial Imagery

et al. 2014

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Abstract:In this paper, a primitive-based 3D building roof modeling method, by integrating LiDAR data and aerial imagery, is proposed. The novelty of the proposed modeling method is to represent building roofs by geometric primitives and to construct a cost function by using constraints from both LiDAR data and aerial imagery simultaneously, so that the accuracy potential of the different sensors can be tightly integrated for the building model generation by an integrated primitive's parameter optimization procedure. To verify the proposed modeling method, both simulated data and real data with simple buildings provided by ISPRS (International Society for Photogrammetry and Remote Sensing), were used in this study. The experimental results were evaluated by the ISPRS, which demonstrate the proposed modeling method can integrate LiDAR data and aerial imagery to generate 3D building models with high accuracy in both the horizontal and vertical directions. The experimental results also show that by adding a component, such as a dormer, to the primitive, a variant of the simple primitive is constructed, and the proposed method can generate a building model with some details.

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Towards 3D map generation from digital aerial images

Cited by 81 publications

References 13 publications

3D Solarweb: A solar cadaster in the Italian Alpine landscape

3D Solarweb: A solar cadaster in the Italian Alpine landscape

Building Façade Separation in Vertical Aerial Images

3D Building Roof Modeling by Optimizing Primitive’s Parameters Using Constraints from LiDAR Data and Aerial Imagery

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