Building model reconstruction with LIDAR data and topographic map by registration of building outlines

B. C. Lin; R. J. You; M. C. Hsu

Building model reconstruction with LIDAR data and topographic map by registration of building outlines

B. C. Lin, R. J. You, M. C. Hsu

Department of Geomatics

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

This study integrates LiDAR data and topographic map information for reconstruction of 3D building models. The procedure includes feature extraction, registration and reconstruction. In this study, the tensor voting algorithm and a region-growing method with principal features are adopted to extract building roof planes and structural lines from LiDAR data. A robust least squares method is applied to register boundary points of LiDAR data with building outlines obtained from topographic maps. The registration accuracy is about 11 cm in both x- And y- coordinates. The results of the registration method developed here are satisfactory for the subsequent application. Finally, an actual LiDAR dataset and its corresponding topographic map information demonstrate the procedure for data fusion of automatic 3D building model construction.

Original language	English
Pages (from-to)	371-375
Number of pages	5
Journal	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume	38
Publication status	Published - 2010 Jan 1
Event	ISPRS Technical Commission VII Symposium on Advancing Remote Sensing Science - Vienna, Austria Duration: 2010 Jul 5 → 2010 Jul 7

All Science Journal Classification (ASJC) codes

Information Systems
Geography, Planning and Development

Cite this

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title = "Building model reconstruction with LIDAR data and topographic map by registration of building outlines",

abstract = "This study integrates LiDAR data and topographic map information for reconstruction of 3D building models. The procedure includes feature extraction, registration and reconstruction. In this study, the tensor voting algorithm and a region-growing method with principal features are adopted to extract building roof planes and structural lines from LiDAR data. A robust least squares method is applied to register boundary points of LiDAR data with building outlines obtained from topographic maps. The registration accuracy is about 11 cm in both x- And y- coordinates. The results of the registration method developed here are satisfactory for the subsequent application. Finally, an actual LiDAR dataset and its corresponding topographic map information demonstrate the procedure for data fusion of automatic 3D building model construction.",

author = "Lin, {B. C.} and You, {R. J.} and Hsu, {M. C.}",

year = "2010",

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journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",

issn = "1682-1750",

publisher = "International Society for Photogrammetry and Remote Sensing",

note = "ISPRS Technical Commission VII Symposium on Advancing Remote Sensing Science ; Conference date: 05-07-2010 Through 07-07-2010",

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TY - JOUR

T1 - Building model reconstruction with LIDAR data and topographic map by registration of building outlines

AU - Lin, B. C.

AU - You, R. J.

AU - Hsu, M. C.

PY - 2010/1/1

Y1 - 2010/1/1

N2 - This study integrates LiDAR data and topographic map information for reconstruction of 3D building models. The procedure includes feature extraction, registration and reconstruction. In this study, the tensor voting algorithm and a region-growing method with principal features are adopted to extract building roof planes and structural lines from LiDAR data. A robust least squares method is applied to register boundary points of LiDAR data with building outlines obtained from topographic maps. The registration accuracy is about 11 cm in both x- And y- coordinates. The results of the registration method developed here are satisfactory for the subsequent application. Finally, an actual LiDAR dataset and its corresponding topographic map information demonstrate the procedure for data fusion of automatic 3D building model construction.

AB - This study integrates LiDAR data and topographic map information for reconstruction of 3D building models. The procedure includes feature extraction, registration and reconstruction. In this study, the tensor voting algorithm and a region-growing method with principal features are adopted to extract building roof planes and structural lines from LiDAR data. A robust least squares method is applied to register boundary points of LiDAR data with building outlines obtained from topographic maps. The registration accuracy is about 11 cm in both x- And y- coordinates. The results of the registration method developed here are satisfactory for the subsequent application. Finally, an actual LiDAR dataset and its corresponding topographic map information demonstrate the procedure for data fusion of automatic 3D building model construction.

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M3 - Conference article

AN - SCOPUS:84875734999

SN - 1682-1750

VL - 38

SP - 371

EP - 375

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

T2 - ISPRS Technical Commission VII Symposium on Advancing Remote Sensing Science

Y2 - 5 July 2010 through 7 July 2010

ER -

Building model reconstruction with LIDAR data and topographic map by registration of building outlines

Abstract

All Science Journal Classification (ASJC) codes

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