From DSM to 3d Building Models: A Quantitative Evaluation

Moreia, J.M. Macay; Nex, Francesco; Agugiaro, G.; Remondino, Fabio; Lim, Nancy Joy

doi:10.5194/isprsarchives-xl-1-w1-213-2013

Cited by 20 publications

(10 citation statements)

References 26 publications

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“…However occlusions management in high density urban cities is one of the major challenges and therefore limit the approach to the 2D building outline diagnosis (Nyaruhuma et al, 2012). Quantitative and qualitative evaluations can involve visual inspection (Durupt and Taillandier, 2006), another reconstructed reference scene (Meidow and Schuster, 2005) or ground truth surveyed measurements (Macay Moreira et al, 2013). These papers highlight the role of the accuracy of the input data (here a DSM) and of the 2D topographic maps used for the reconstruction process.…”

Section: Related Workmentioning

confidence: 99%

“…The adopted methods heavily depend on the spatial resolution of the input data and no generic method has been developed so far. Regardless of the computed approach, the evaluation of generated 3D building city models has been barely tackled in the literature, apart from measures proposed in the ISPRS benchmark of Rottensteiner et al (2012), and simple distances between 3D models and ground truth measurements (Macay Moreira et al, 2013). Currently, evaluation can be only detected with (expensive) visual inspection or with (non-generic) intrinsic criteria of reconstruction methods, which are both unsatisfactory.…”

Section: Introductionmentioning

confidence: 99%

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Quality evaluation of 3D city building Models with automatic error diagnosis

Michelin

Tierny²,

Tupin³

et al. 2013

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

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ABSTRACT:Automatic building modelling allows a cost effective access to 3D semantic information of cities. However, even state-of-the-art algorithms have intrinsic limits and many errors exist in 3D reconstructions, requiring expensive manual corrections. A new approach is proposed in this paper for the automatic diagnosis of 3D building databases in urban areas. A novel error taxonomy which allows a subsequent high-level diagnosis is first proposed. Then, relevant raster and vector features are extracted from very high resolution multi-view images and Digital Surface Models so as that to retrieve such errors. In a supervised way, a set of functions is presented in order to take high-level decisions from these low-level features. Experiments on 355 buildings in an European dense city center with 10 cm airborne images demonstrate the high accuracy on error detection and show promising results.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quality evaluation of 3D city building Models with automatic error diagnosis

Michelin

Tierny²,

Tupin³

et al. 2013

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

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“…The topic has already been investigated to different extents by other authors (e.g. Macay Moreira et al, 2013;Wate et al, 2016;Biljecki et al, 2018). Here we will restrict the reasoning to the CityGML "world", as the number of possibilities tied to the different LoDs and the rather loose definition of LoD in the CityGML specifications can already lead to rather different results.…”

Section: Introductionmentioning

confidence: 99%

Volume Comparison of Automatically Reconstructed Multi-Lod Building Models for Urban Planning Applications

Doan

León-Sánchez

Peters

et al. 2021

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

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Abstract. 3D city models are playing a growing role worldwide as sources of integrated information upon which different urban applications are developed. In the context of urban planning and design, semantic 3D city models can provide plenty of qualitative and quantitative information about the urban context and of the area(s) to be transformed. This paper takes inspiration and continues a work recently published in which several design parameters and Key Performance Indicators are computed from a semantic 3D city model, and later used in a GIS-supported urban design process to develop a new area. As many of such parameters are derived from the gross volume of the building stock, this paper investigates whether and to which extent different building stock models might affect the estimation of the gross volume. The study is carried out in anticipation of the upcoming LoD2-based, country-wide model of the Netherlands that is being finalised by our team. At the same time, the paper investigates whether and which information can be obtained regarding the quality of the LoD2 model from a comparison with the LoD1 one, with a focus on volume calculation.

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“…The potential of VHR optical sensors for 3D city model generation has been addressed in [15][16][17], showing promising results for automatic building extraction when compared to a LiDAR elevation model, although highlighting some difficulties in the case of small individual house reconstruction. A quantitative and qualitative evaluation of 3D building models from different data sources was presented in [18], where a DSM at 1 m resolution derived from a GeoEye-1 stereo-pair, a DSM from an aerial block at 50 cm GSD, and a LiDAR-based DSM at 1 m resolution were used. Their results show that the percentage of correctly reconstructed models is very similar for airborne and LiDAR data (59% and 67%, respectively), while for GeoEye data it is lower (only 41%).…”

Section: Introductionmentioning

confidence: 99%

Potential of Pléiades and WorldView-3 Tri-Stereo DSMs to Represent Heights of Small Isolated Objects

Loghin

Otepka-Schremmer

Pfeifer

2020

Sensors

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High-resolution stereo and multi-view imagery are used for digital surface model (DSM) derivation over large areas for numerous applications in topography, cartography, geomorphology, and 3D surface modelling. Dense image matching is a key component in 3D reconstruction and mapping, although the 3D reconstruction process encounters difficulties for water surfaces, areas with no texture or with a repetitive pattern appearance in the images, and for very small objects. This study investigates the capabilities and limitations of space-borne very high resolution imagery, specifically Pléiades (0.70 m) and WorldView-3 (0.31 m) imagery, with respect to the automatic point cloud reconstruction of small isolated objects. For this purpose, single buildings, vehicles, and trees were analyzed. The main focus is to quantify their detectability in the photogrammetrically-derived DSMs by estimating their heights as a function of object type and size. The estimated height was investigated with respect to the following parameters: building length and width, vehicle length and width, and tree crown diameter. Manually measured object heights from the oriented images were used as a reference. We demonstrate that the DSM-based estimated height of a single object strongly depends on its size, and we quantify this effect. Starting from very small objects, which are not elevated against their surroundings, and ending with large objects, we obtained a gradual increase of the relative heights. For small vehicles, buildings, and trees (lengths <7 pixels, crown diameters <4 pixels), the Pléiades-derived DSM showed less than 20% or none of the actual object’s height. For large vehicles, buildings, and trees (lengths >14 pixels, crown diameters >7 pixels), the estimated heights were higher than 60% of the real values. In the case of the WorldView-3 derived DSM, the estimated height of small vehicles, buildings, and trees (lengths <16 pixels, crown diameters <8 pixels) was less than 50% of their actual height, whereas larger objects (lengths >33 pixels, crown diameters >16 pixels) were reconstructed at more than 90% in height.

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From DSM to 3d Building Models: A Quantitative Evaluation

Cited by 20 publications

References 26 publications

Quality evaluation of 3D city building Models with automatic error diagnosis

Quality evaluation of 3D city building Models with automatic error diagnosis

Volume Comparison of Automatically Reconstructed Multi-Lod Building Models for Urban Planning Applications

Potential of Pléiades and WorldView-3 Tri-Stereo DSMs to Represent Heights of Small Isolated Objects

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