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3D Building Model Reconstruction from Multi-view Aerial Imagery and Lidar Data

Liang Cheng, Jianya Gong, Manchun Li, Yongxue Liu
2011 Photogrammetric Engineering and Remote Sensing  
A novel approach by integrating multi-view aerial imagery and lidar data is proposed to reconstruct 3D building models with accurate geometric position and fine details.  ...  Second, 3D boundary segments are determined by incorporating lidar data and the 2D segments extracted from multi-view imagery.  ...  It is difficult to obtain building models 3D Building Model Reconstruction from Multi-view Aerial Imagery and Lidar Data Liang Cheng, Jianya Gong, Manchun Li, and Yongxue Liu with highly precise geometric  ... 
doi:10.14358/pers.77.2.125 fatcat:vqdzbb7ydnegflmioc7dfa374e

Reconstruction of Building Models with Curvilinear Boundaries from Laser Scanner and Aerial Imagery [chapter]

Liang-Chien Chen, Tee-Ann Teo, Chi-Heng Hsieh, Jiann-Yeou Rau
2006 Lecture Notes in Computer Science  
This paper presents a scheme to detect building regions, followed by a reconstruction procedure. Airborne LIDAR data and aerial imagery are integrated in the proposed scheme.  ...  In the building reconstruction, we perform an edge detection to obtain the initial building lines from the rasterized LIDAR data.  ...  The authors would like to thank the Department of Land Administration of Taiwan and Industrial Technology Research Institute of Taiwan for providing the test data sets.  ... 
doi:10.1007/11949534_3 fatcat:ld57nanhgvfa7ddjr5wocqszre

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

Wuming Zhang, Hongtao Wang, Yiming Chen, Kai Yan, Mei Chen
2014 Remote Sensing  
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  ...  Hongtao Wang did research on the building detection from LiDAR point cloud and the aerial imagery and modeling experiment. Yiming Chen did research on the segmentation of buildings and roofs.  ... 
doi:10.3390/rs6098107 fatcat:gua3m6zznbhpra5m5lj35lwtme

Integration of LiDAR data and optical multi-view images for 3D reconstruction of building roofs

Liang Cheng, Lihua Tong, Yanming Chen, Wen Zhang, Jie Shan, Yongxue Liu, Manchun Li
2013 Optics and lasers in engineering  
An approach by integrating airborne LiDAR data and optical multi-view aerial imagery is presented for automatic reconstruction of 3D building roof models.  ...  A point-based integration mechanism by incorporating the segmented roof points and 2D lines extracted from optical multi-view aerial images is then proposed for 3D step line determination, with which 3D  ...  Sincere thanks are given for the comments and contributions of anonymous reviewers and members of the Editorial team.  ... 
doi:10.1016/j.optlaseng.2012.10.010 fatcat:hjjc7lcfnfgetklzd7uet66jju

Fusion of ALS Point Cloud and Optical Imagery for 3D Reconstruction of Building's Roof

B. Hujebri, F. Samadzadegan, H. Arefi
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper a method based on fusion of LiDAR point cloud and aerial image data sources has been proposed.  ...  In order to evaluate the efficiency of proposed method, buildings with different shapes and different level of complexity selected and the results of the 3D model reconstruction evaluated.  ...  The first one is to reconstruct 3D building models from LIDAR data. Rough building models are the outcome of this step.  ... 
doi:10.5194/isprsarchives-xl-1-w3-197-2013 fatcat:j3fos6fetrd2loajqwy4jrzmqy

A Hybrid GWR-Based Height Estimation Method for Building Detection in Urban Environments

X. Wei, X. Yao
2014 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
LiDAR has become important data sources in urban modelling. Traditional methods of LiDAR data processing for building detection require high spatial resolution data and sophisticated methods.  ...  This paper develops a geographically weighted regression (GWR)-based method to identify buildings. The method integrates characteristics derived from the sparse LiDAR data and from aerial photos.  ...  LiDAR points and the building contours are finally intersected to generate 3D building models.  ... 
doi:10.5194/isprsannals-ii-2-23-2014 fatcat:pxrssa6gfnbcxcunwaiqnr46vu

MULTI-DIMENSIONAL QUALITY ASSESSMENT OF PHOTOGRAMMETRIC AND LIDAR DATASETS BASED ON A VECTOR APPROACH

M. Mohamed, T. Landes, P. Grussenmeyer, W. Zhang
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Also errors due to the quality of the raw data, the processing of LiDAR data, of aerial data and the shape of the produced buildings should be considered.  ...  The production of 3D city models requires the reconstruction of individual 3D building models.  ...  This multi-dimensional approach is suitable for 3D building vector models created from aerial images and/or LiDAR datasets.  ... 
doi:10.5194/isprsarchives-xl-2-w1-93-2013 fatcat:wo3lxv4yd5hdpptxgjrhvdkug4

Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm

Fulya GÖNÜLTAŞ, Muhammed Enes ATİK, Zaide DURAN
2020 International Journal of Environment and Geoinformatics  
It is shown that, the RANSAC algorithm detects building roofs better on the point cloud data acquired from airborne LIDAR regarding completeness within model, since aerial photogrammetric survey provides  ...  RANSAC algorithm was performed to 3D-point clouds obtained by both LIDAR (Laser Ranging and Detection) and aerial photogrammetric survey.  ...  Detected roof plane from aerial photogrammetry data (Ari-1 building) Fig. 11. Detected roof plane from LIDAR data (Turk Telekom building) Fig. 12.  ... 
doi:10.30897/ijegeo.715510 fatcat:edpufthytbchni5q74c7fadz7u

EXTRACTION OF HOUSES FROM POINT CLOUD LIDAR: PROBLEMS AND CHALLENGE

G. Q. Zhou, W. Q. Di
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
A comprehensive comparison in extraction of houses (feature information) from LiDAR data set and from aerial imagery are also presented.  ...  Although many efforts have been made on the extraction of houses from LiDAR (Light Detection and Ranging) and/or aerial imagery and/or their fusion, little investigation using co-registration between the  ...  Fujii and Arikawa (2002) proposed integrating LiDAR, aerial image and ground images for modeling the urban building.  ... 
doi:10.5194/isprs-archives-xlii-3-w10-831-2020 fatcat:qn72xdo5vzalfidlotred66fnq

A robust approach for automatic registration of aerial images with untextured aerial LiDAR data

Lu Wang, Ulrich Neumann
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
Putative line segment correspondences are obtained by matching 3CS features detected from both aerial images and 3D Li-DAR data.  ...  To generate photo-realistic 3D models, oblique aerial images are needed for texture mapping, in which the key step is to obtain accurate registration between aerial images and untextured 3D LiDAR data.  ...  In these situations, the detection of planar facets in the 3D LiDAR data and the detection of line segments on building outlines in aerial images become very difficult.  ... 
doi:10.1109/cvpr.2009.5206600 dblp:conf/cvpr/WangN09 fatcat:ciy5oup5inefzkhlfscfmastgy

A robust approach for automatic registration of aerial images with untextured aerial LiDAR data

Lu Wang, U. Neumann
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
Putative line segment correspondences are obtained by matching 3CS features detected from both aerial images and 3D Li-DAR data.  ...  To generate photo-realistic 3D models, oblique aerial images are needed for texture mapping, in which the key step is to obtain accurate registration between aerial images and untextured 3D LiDAR data.  ...  In these situations, the detection of planar facets in the 3D LiDAR data and the detection of line segments on building outlines in aerial images become very difficult.  ... 
doi:10.1109/cvprw.2009.5206600 fatcat:wwvslghzlrfflfwxuhj22jbnum

Photogrammetric refinement of LiDAR-derived building roof contours

Aluir Porfírio Dal Poz
2018 International Journal of Image and Data Fusion  
In this paper, a photogrammetric method is proposed for refining 3D building roof contours extracted from airborne Light Detection And Ranging (LiDAR) data.  ...  First, polygons representing building roof contours are extracted from a high-resolution aerial image.  ...  Cheng et al. (2011) proposed an approach integrating multi-view aerial image and LiDAR data to reconstruct 3D building models.  ... 
doi:10.1080/19479832.2018.1440438 fatcat:bt5xv5ctzrc7jo2srgdwly3kbe

Airborne photogrammetry and lidar for DSM extraction and 3D change detection over an urban area – a comparative study

Cornelis Stal, Frederik Tack, Philippe De Maeyer, Alain De Wulf, Rudi Goossens
2013 International Journal of Remote Sensing  
A digital surface model (DSM) extracted from stereoscopic aerial images, acquired in March 2000, is compared with a DSM derived from airborne light detection and ranging (lidar) data collected in July  ...  Then the data sets, which are acquired at two different epochs t 1 and t 2 , are investigated as to what extent 3D (building) changes can be detected and modelled over the time interval.  ...  The authors would like to express their gratitude to the Flemish Geographical Information Agency (AGIV) for providing the aerial image data and the municipality of Ghent for the lidar data.  ... 
doi:10.1080/01431161.2012.717183 fatcat:tqm5asgzubdcjkr55rriqmjfye

A Novel Building Change Detection Method Using 3D Building Models

Fasahat Ullah Siddiqui, Mohammad Awrangjeb
2017 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)  
Next, the proposed robust building change detection method runs analysis on planes' connectivity to represent the 3D building models of the reference and modified data.  ...  Based on the plane connection information, the 3D building models are compared for identification of the building changes and classify them into unchanged, demolished, new, modified, and partially-modified  ...  ACKNOWLEDGMENT The authors would like to thank Ergon Energy (www.ergon.com.au) for providing the Australian data sets.  ... 
doi:10.1109/dicta.2017.8227394 dblp:conf/dicta/SiddiquiA17 fatcat:tjhksx4qanh2ljd2jqvcctkxa4

Editorial for Special Issue: "Remote Sensing based Building Extraction"

Mohammad Awrangjeb, Xiangyun Hu, Bisheng Yang, Jiaojiao Tian
2020 Remote Sensing  
Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications [...]  ...  Acknowledgments: We want to thank the authors who contributed towards this Special Issue on "Remote Sensing based Building Extraction", as well as the reviewers who provided the authors with comments and  ...  This method then uses the generated building models to detect 3D changes in buildings. Among the methods that integrate data from multiple sources, Lai et al.  ... 
doi:10.3390/rs12030549 fatcat:r2sqr6gem5bntci6kksgvk77mi
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