oblique photogrammetry supporting 3d urban … · d politecnico di milano, dept. of architecture,...

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ISPRS Hannover Workshop 2017 June 6-9, 2017 – HANNOVER, Germany OBLIQUE PHOTOGRAMMETRY SUPPORTING 3D URBAN RECONSTRUCTION OF COMPLEX SCENARIOS I. Toschi a , M. M. Ramos a , E. Nocerino a , F. Menna a , F. Remondino a , K. Moe b , D. Poli b , K. Legat c , F. Fassi d a 3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy - (toschi, ramos, nocerino, menna, remondino)@fbk.eu b Terra Messflug GmbH, Imst, Austria – (k.moe, d.poli)@terra-messflug.at c Vermessung AVT ZT GmbH, Imst, Austria – (k.legat)@avt.at d Politecnico di Milano, Dept. of Architecture, Built environment and Construction engineering, Milan, Italy – [email protected] Although remarkable progress has been made in recent years, there are still many open issues when it comes to the 3D modelling of complex urban scenarios like historical and densely-built city centres. This research aims to : investigate state-of-the-art methods for 3D building modelling; test their performance when dealing with a complex urban scenario; exploit the use of oblique airborne imagery and terrestrial mobile mapping data in order to support the 3D reconstruction task. Objectives Conclusions and future works Area of interest The project area is the oldest part of the Italian city of Bergamo, called Città Alta” (1.2 x 0.8 km). It poses significant challenges: presence of medieval buildings with complex and varying roof shapes; visibility constraints, that limit data acquisition from airborne platform. Input data AIRBORNE DATA The airborne dataset comprises 1073 nadir and 4292 oblique images. They were acquired by AVT with Vexcel UltraCam Osprey Prime multi-camera system - a large frame nadir camera and four oblique looking cameras (nadir GSD of 12 cm). TERRESTRIAL DATA Terrestrial Mobile Mapping System (MMS) data were acquired by SINECO with their Laser Mobile Mapper. As mapping sensors, the platform integrates two synchronously operated RIEGL VMX 450 lasers canners. Two views of the MMS point cloud (5 bn. points, mean spatial resolution of 1-2 cm on the road and adjacent facades) Methodology and results The 3D reconstruction of complex urban scenarios is still a challenging task: the use of parametrized roof shapes to best fit the input airborne data can provide for efficient modelling results in case of standard roof shapes; when dealing with a medieval city centre, a significant manual editing of the results is required and the use of oblique imagery is essential in supporting it; the use of MMS data to complement airborne point clouds is proved to be a promising and efficient solution to retrieve a complete 3D urban reconstruction; the management of such massive datasets is still problematic. Different reconstruction approaches are under development and investigation: a method based on point cloud segmentation and polyhedral reconstruction; methods for generating a 3D mesh optimized for efficient handling. BUILDING MODELLING WITH PARAMETRIC SHAPES The tridicon/Hexagon suite of tools is adopted to test a reconstruction method based on parametric shapes fitting, starting from the DIM results. Oblique imagery is then exploited to support the editing of the building models. DATA INTEGRATION MMS data are integrated with the photogrammetric point clouds to provide for a complete 3D reconstruction of the urban scene and detect architectural details on facades (at scale 1:100-1:200). An overall view of the airborne and terrestrial merged point clouds within Potree (left) and Geoverse (right). Two views of the 3D mesh generated by nFrames with SURE.. ISPRS Hannover Workshop 2017 June 6-9, 2017 – HANNOVER, Germany Photogrammetric processing tools: in-house developed (block generation); Pix4D (AT – RMSE X 4.5 cm, RMSE Y 5.8 cm, RMSE Z 4.9 cm); SURE (DIM). Two views of the 3D point cloud (60 mil. points, mean spatial resolution of 1 GSD) Two views of the LOD2 building models in Google Earth (left) and with colours corresponding to the cadastre IDs (right). Building modelling tools: CityModeller (roof shapes fitting); 3D Editor (models editing). Visualization and management tools: BIM3DSG (in-house developed); Potree; Geoverse. 3D MESH GENERATED WITH SURE by nFrames

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Page 1: OBLIQUE PHOTOGRAMMETRY SUPPORTING 3D URBAN … · d Politecnico di Milano, Dept. of Architecture, Built environment and Construction engineering, Milan, Italy –francesco.fassi@polimi.it

ISPRS Hannover Workshop 2017June 6-9, 2017 – HANNOVER, Germany

OBLIQUE PHOTOGRAMMETRY SUPPORTING3D URBAN RECONSTRUCTION OF COMPLEX SCENARIOS

I. Toschi a, M. M. Ramos a, E. Nocerino a , F. Menna a , F. Remondino a, K. Moe b, D. Poli b, K. Legat c, F. Fassi d

a 3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy - (toschi, ramos, nocerino, menna, remondino)@fbk.eub Terra Messflug GmbH, Imst, Austria – (k.moe, d.poli)@terra-messflug.at

c Vermessung AVT ZT GmbH, Imst, Austria – (k.legat)@avt.atd Politecnico di Milano, Dept. of Architecture, Built environment and Construction engineering, Milan, Italy – [email protected]

Although remarkable progress has been made in recent years, there are still manyopen issues when it comes to the 3D modelling of complex urban scenarios likehistorical and densely-built city centres.

This research aims to :• investigate state-of-the-art methods for 3D building modelling;• test their performance when dealing with a complex urban scenario;• exploit the use of oblique airborne imagery and terrestrial mobile mapping

data in order to support the 3D reconstruction task.

Objectives

Conclusions and future works

Area of interest

The project area is the oldest part ofthe Italian city of Bergamo, called“Città Alta” (1.2 x 0.8 km).

It poses significant challenges:• presence of medieval buildings with

complex and varying roof shapes;• visibility constraints, that limit data

acquisition from airborne platform.

Input data

AIRBORNE DATAThe airborne dataset comprises 1073 nadir and 4292 oblique images. They wereacquired by AVT with Vexcel UltraCam Osprey Prime multi-camera system - a largeframe nadir camera and four oblique looking cameras (nadir GSD of 12 cm).

TERRESTRIAL DATATerrestrial Mobile Mapping System (MMS) data were acquired by SINECO with their Laser Mobile Mapper. As mapping sensors, the platform integrates two synchronously operated RIEGL VMX 450 lasers canners.

Two views of the MMS point cloud (5 bn. points, mean spatial resolution of 1-2 cm on the road and adjacent facades)

Methodology and results

The 3D reconstruction of complex urban scenarios is still a challenging task:

• the use of parametrized roof shapes to best fit the input airborne data canprovide for efficient modelling results in case of standard roof shapes;

• when dealing with a medieval city centre, a significant manual editing of theresults is required and the use of oblique imagery is essential in supporting it;

• the use of MMS data to complement airborne point clouds is proved to be apromising and efficient solution to retrieve a complete 3D urban reconstruction;

• the management of such massive datasets is still problematic.

Different reconstruction approaches are under development and investigation:• a method based on point cloud segmentation and polyhedral reconstruction;• methods for generating a 3D mesh optimized for efficient handling.

BUILDING MODELLING WITH PARAMETRIC SHAPESThe tridicon/Hexagon suite of tools is adopted to test a reconstruction methodbased on parametric shapes fitting, starting from the DIM results.Oblique imagery is then exploited to support the editing of the building models.

DATA INTEGRATIONMMS data are integrated with the photogrammetric point clouds to provide for acomplete 3D reconstruction of the urban scene and detect architectural details onfacades (at scale 1:100-1:200).

An overall view of the airborne and terrestrial merged point clouds within Potree (left) and Geoverse (right).

Two views of the 3D mesh generated by nFrames with SURE..

ISPRS Hannover Workshop 2017June 6-9, 2017 – HANNOVER, Germany

Photogrammetric processing tools: • in-house developed (block generation);• Pix4D (AT – RMSEX 4.5 cm, RMSEY 5.8 cm,

RMSEZ 4.9 cm); • SURE (DIM).

Two views of the 3D point cloud (60 mil. points, mean spatial resolution of 1 GSD)

Two views of the LOD2 building models in Google Earth (left) and with colours corresponding to the cadastre IDs (right).

Building modelling tools: • CityModeller (roof shapes fitting);• 3D Editor (models editing).

Visualization and management tools: • BIM3DSG (in-house developed);• Potree;• Geoverse.

3D MESH GENERATED WITH SUREby nFrames