Large Scale Urban Reconstruction From Remote Sensing Imagery

Kuschk, Georg

doi:10.5194/isprsarchives-xl-5-w1-139-2013

Cited by 27 publications

(21 citation statements)

References 16 publications

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“…Additional information can be provided by RGB (Kim et al 2009) or multispectral images (Guo et al, 2011;Sohn and Dowman, 2007;Habib et al, 2010) exploiting the complementary nature between range and image data. As a result, most methods deliver simple prismatic models (Lafarge et al, 2008;AboAker et al, 2009), while other methods deal with the generation of reliable meshes, in that a decimated version of the original point cloud is presented (Kuschk, 2013). This kind of applications are suitable for visualization purposes on the web (i.e.…”

Section: S Tate Of the Art In 3d City Modellingmentioning

confidence: 99%

From DSM to 3d Building Models: A Quantitative Evaluation

Moreia

Nex

Agugiaro

et al. 2013

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

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ABS TRACT:The paper reviews the state-of-the-art in 3D city models and building block generation, with a description of the most common solutions and approaches. Then the digital reconstruction and comparison of LoD1 and LoD2 building models obtained with commercial packages and using different input data are presented. As input data, a DSM at 1m resolution derived from a GeoEye-1 stereo-pair, a DSM from an aerial block at 50 cm GSD and a LiDAR-based DSM at 1m resolution are used. The geometric buildings produced with each dataset are evaluated with respect to some ground-truth measurements but also compared between them. Problems such as the quality of the input DSM , the accuracy of the necessary vector datasets containing the building footprints, the flexibility of the approaches and the potentialities of each dataset will be discussed. As reconstruction of the building models is largely influenced by the quality of the building footprints, which may be out-of-date or slightly shifted with respect to the employed DSM s/DTM s, an in-house method is being developed to derive them starting from the produced DSM s.

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Section: S Tate Of the Art In 3d City Modellingmentioning

confidence: 99%

From DSM to 3d Building Models: A Quantitative Evaluation

Moreia

Nex

Agugiaro

et al. 2013

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

View full text Add to dashboard Cite

show abstract

“…In their implementation, the pair-wise multi-view reconstruction method generates better results than the other method. Because of the efficiency and stable performance of the semi-global matching (SGM) algorithm (Hirschmüller, 2008), most researchers implement the binocular stereo method for satellite MVS datasets (d 'Angelo and Kuschk, 2012;Kuschk, 2013;Qin, 2017;Facciolo et al, 2017). In this paper, we also apply the binocular stereo method for MVS satellite imagery reconstruction.…”

Section: Related Workmentioning

confidence: 99%

Point Cloud and Digital Surface Model Generation From High Resolution Multiple View Stereo Satellite Imagery

Gong

Fritsch

2018

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

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ABSTRACT:Nowadays, multiple-view stereo satellite imagery has become a valuable data source for digital surface model generation and 3D reconstruction. In 2016, a well-organized multiple view stereo publicly benchmark for commercial satellite imagery has been released by the John Hopkins University Applied Physics Laboratory, USA. This benchmark motivates us to explore the method that can generate accurate digital surface models from a large number of high resolution satellite images. In this paper, we propose a pipeline for processing the benchmark data to digital surface models. As a pre-procedure, we filter all the possible image pairs according to the incidence angle and capture date. With the selected image pairs, the relative bias-compensated model is applied for relative orientation. After the epipolar image pairs' generation, dense image matching and triangulation, the 3D point clouds and DSMs are acquired. The DSMs are aligned to a quasi-ground plane by the relative bias-compensated model. We apply the median filter to generate the fused point cloud and DSM. By comparing with the reference LiDAR DSM, the accuracy, the completeness and the robustness are evaluated. The results show, that the point cloud reconstructs the surface with small structures and the fused DSM generated by our pipeline is accurate and robust.

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“…In recent years many applications are suitable for visualization purposes over the web (e.g. Apple/C3, GoogleMaps) but these systems, impressive in terms of visualization, are based on the generation of reliable meshes that are a decimated version of the original point cloud (Kuschk, 2013). This approach make impossible to consider city objects as single independent features and is not fully suitable to provide semantic information and additional services.…”

Section: Related Workmentioning

confidence: 99%

Services Oriented Smart City Platform Based On 3d City Model Visualization

Prandi

Soave

Devigili

et al. 2014

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

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ABSTRACT:The rapid technological evolution, which is characterizing all the disciplines involved within the wide concept of smart cities, is becoming a key factor to trigger true user-driven innovation. However to fully develop the Smart City concept to a wide geographical target, it is required an infrastructure that allows the integration of heterogeneous geographical information and sensor networks into a common technological ground. In this context 3D city models will play an increasingly important role in our daily lives and become an essential part of the modern city information infrastructure (Spatial Data Infrastructure). The work presented in this paper describes an innovative Services Oriented Architecture software platform aimed at providing smartcities services on top of 3D urban models. 3D city models are the basis of many applications and can became the platform for integrating city information within the Smart-Cites context. In particular the paper will investigate how the efficient visualisation of 3D city models using different levels of detail (LODs) is one of the pivotal technological challenge to support Smart-Cities applications. The goal is to provide to the final user realistic and abstract 3D representations of the urban environment and the possibility to interact with a massive amounts of semantic information contained into the geospatial 3D city model. The proposed solution, using OCG standards and a custom service to provide 3D city models, lets the users to consume the services and interact with the 3D model via Web in a more effective way.

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Large Scale Urban Reconstruction From Remote Sensing Imagery

Cited by 27 publications

References 16 publications

From DSM to 3d Building Models: A Quantitative Evaluation

From DSM to 3d Building Models: A Quantitative Evaluation

Point Cloud and Digital Surface Model Generation From High Resolution Multiple View Stereo Satellite Imagery

Services Oriented Smart City Platform Based On 3d City Model Visualization

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