Building reconstruction from images and laser scanning

Brenner, Claus

doi:10.1016/j.jag.2004.10.006

Cited by 237 publications

(144 citation statements)

References 9 publications

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“…Literature reviews on the methods of building extraction and reconstruction can be found by Wang [7], Hyyppa et al [8], Baltsavias [9], Brenner [10], Kaartinen and Hyyppa [11], and Haala and Kada [12]. Wang [7] produced an overview of the methods according to different data sources.…”

Section: (I) Building Extraction and Reconstructionmentioning

confidence: 99%

The Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D

Zhu

Hyyppä

2014

Remote Sensing

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This paper presents methods for 3D modeling of railway environments from airborne laser scanning (ALS) and mobile laser scanning (MLS). Conventionally, aerial data such as ALS and aerial images were utilized for 3D model reconstruction. However, 3D model reconstruction only from aerial-view datasets can not meet the requirement of advanced visualization (e.g., walk-through visualization). In this paper, objects in a railway environment such as the ground, railroads, buildings, high voltage powerlines, pylons and so on were reconstructed and visualized in real-life experiments in Kokemaki, Finland. Because of the complex terrain and scenes in railway environments, 3D modeling is challenging, especially for high resolution walk-through visualizations. However, MLS has flexible platforms and provides the possibility of acquiring data in a complex environment in high detail by combining with ALS data to produce complete 3D scene modeling. A procedure from point cloud classification to 3D reconstruction and 3D visualization is introduced, and new solutions are proposed for object extraction, 3D reconstruction, model simplification and final model 3D visualization. Image processing technology is used for the classification, 3D randomized Hough transformations (RHT) are used for the planar detection, and a quadtree approach is used for the ground model simplification. The results are visually analyzed by a comparison with an orthophoto at a 20 cm ground resolution.

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Section: (I) Building Extraction and Reconstructionmentioning

confidence: 99%

The Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D

Zhu

Hyyppä

2014

Remote Sensing

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“…Acquisition-wise, they can be automatically derived from point clouds (Suveg and Vosselman, 2004;Brenner, 2005;Kada and McKinley, 2009). Usability-wise, they can be used in a wider range of applications than LOD1, such as the estimation of the solar potential of rooftops (Fath et al, 2015;Biljecki et al, 2015a)), or as an improvement in accuracy over LOD1 (e.g.…”

Section: Lod2 Familymentioning

confidence: 99%

An improved LOD specification for 3D building models

Biljecki

Ledoux

Stoter

2016

Computers, Environment and Urban Systems

335

176

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The level of detail (LOD) concept of the OGC standard CityGML 2.0 is intended to differentiate multi-scale representations of semantic 3D city models. The concept is in practice principally used to indicate the geometric detail of a model, primarily of buildings. Despite the popularity and the general acceptance of this categorisation, we argue in this paper that from a geometric point of view the five LODs are insufficient and that their specification is ambiguous.We solve these shortcomings with a better definition of LODs and their refinement. Hereby we present a refined set of 16 LODs focused on the grade of the exterior geometry of buildings, which provide a stricter specification and allow less modelling freedom. This series is a result of an exhaustive research into currently available 3D city models, production workflows, and capabilities of acquisition techniques. Our specification also includes two hybrid models that reflect common acquisition practices. The new LODs are in line with the LODs of CityGML 2.0, and are intended to supplement, rather than replace the geometric part of the current specification. While in our paper we focus on the geometric aspect of the models, our specification is compatible with different levels of semantic granularity. Furthermore, the improved LODs can be considered format-agnostic.Among other benefits, the refined specification could be useful for companies for a better definition of their product portfolios, and for researchers to specify data requirements when presenting use cases of 3D city models. We support our refined LODs with experiments, proving their uniqueness by showing that each yields a different result in a 3D spatial operation.Keywords: Level of detail; 3D city modelling; 3D GIS; 3D building models; CityGML; Scale Highlights• CityGML LODs are an industry standard for conveying the grade of 3D city models.• The 5 LODs are not defined precisely, and they are not sufficient for this purpose.• We present a refined series of 16 LODs that overcomes these issues.

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“…Subsequently, this technology were improved and direct georeferencing became feasible with sufficient accuracy. The main drawback of LiDAR is that the laser beam samples the earth's surface in fixed pattern, and the flight height of the LiDAR platform limits its application (Brenner, 2005). Despite theoretical considerations and some experiments suggesting high accuracy of the terrain coordinates obtained by means of LiDAR technique, the reality is that the results for large terrain surface often do not meet the expectations (Huising and Pereira, 1998).…”

Section: Introductionmentioning

confidence: 99%

Photogrammetric Point Clouds Generation in Urban Areas From Integrated Image Matching and Segmentation

2017

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

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ABSTRACT:High-resolution imagery is an attractive option for surveying and mapping applications due to the advantages of high quality imaging, short revisit time, and lower cost. Automated reliable and dense image matching is essential for photogrammetric 3D data derivation. Such matching, in urban areas, however, is extremely difficult, owing to the complexity of urban textures and severe occlusion problems on the images caused by tall buildings. Aimed at exploiting high-resolution imagery for 3D urban modelling applications, this paper presents an integrated image matching and segmentation approach for reliable dense matching of high-resolution imagery in urban areas. The approach is based on the framework of our existing self-adaptive triangulation constrained image matching (SATM), but incorporates three novel aspects to tackle the image matching difficulties in urban areas: 1) occlusion filtering based on image segmentation, 2) segment-adaptive similarity correlation to reduce the similarity ambiguity, 3) improved dense matching propagation to provide more reliable matches in urban areas. Experimental analyses were conducted using aerial images of Vaihingen, Germany and high-resolution satellite images in Hong Kong. The photogrammetric point clouds were generated, from which digital surface models (DSMs) were derived. They were compared with the corresponding airborne laser scanning data and the DSMs generated from the Semi-Global matching (SGM) method. The experimental results show that the proposed approach is able to produce dense and reliable matches comparable to SGM in flat areas, while for densely built-up areas, the proposed method performs better than SGM. The proposed method offers an alternative solution for 3D surface reconstruction in urban areas.

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Building reconstruction from images and laser scanning

Cited by 237 publications

References 9 publications

The Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D

The Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D

An improved LOD specification for 3D building models

Photogrammetric Point Clouds Generation in Urban Areas From Integrated Image Matching and Segmentation

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