Advanced Search

ISSN1001-3806 CN51-1125/TN Map

Volume 39 Issue 1
Nov.  2014
Article Contents
Turn off MathJax

Citation:

Review of reconstruction of 3-D building models based on airborne lidar

  • Received Date: 2014-03-24
    Accepted Date: 2014-05-16
  • Airborne lidar is one of the important reconstruction measures of 3-D building models. Research methods and developing progresses of 3-D building reconstruction based on airborne lidar point cloud data were reviewed. The characteristics and key issues of model-driven, data-driven and hybrid algorithms were analyzed and discussed. The hybrid algorithm integrating the merits of both the other methods is the significant developing trend of 3-D building reconstruction.
  • 加载中
  • [1]

    RAU J Y. A line-based roof model reconstruction algorithm:TIN-merging and reshaping (TMR) [C]//Proceedings of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2012: 287-292.
    [2]

    SUN S. Automatic 3-D building detection and modeling from airborne LiDAR point clouds[D]. New York,USA: Rochester Institute of Technology, 2013:1-2.
    [3]

    ZHOU Q Y. 3-D urban modeling from city-scale aerial LiDAR data[D]. Los Angeles,USA: University of Southern California, 2012: 7-8.
    [4]

    HOSSEIN A. From LiDAR point clouds to 3-D building models[D]. Neubiberg,Germany: Universitty of the Federal Armed Forces Munich, 2009: 15-18. ZHANG H X. Study on building modeling based on 3-D laser scanning technology.Laser Technology, 2014,38(3):431-434 (in Chinese).
    [5]

    GROGER G, KOLBE T H, NAGEL C, et al. OGC city geography markup language encoding standard [S]. Westphalia,Germany: Open Geospatial Consortium, 2012: 11-13.
    [6]

    MA R. Building model reconstruction from LiDAR data and aerial photographs[D]. Columbus,USA: Ohio State University, 2004: 19-22.
    [7]

    ZHANG X H. Airborne LiDAR measurement technology theory and method [M]. Wuhan: Wuhan University Press, 2012:75-78(in Chinese).
    [8]

    ZENG Q H. Airborne LiDAR point cloud data processing and 3-D building reconstruction [D]. Shanghai: Shanghai University, 2009: 10-12(in Chinese).
    [9]

    HU W. Research on 3-D building reconstruction from airborne LiDAR data [D]. Jiaozuo: Henan Polytechnic University, 2012: 6-8(in Chinese).
    [10]

    KWAK E, AL-DURGHAM M, HABIB A. Automatic 3-D building model generation from LiDAR and image data using sequential minimum bounding rectangle (MBR) [C]//Proceedings of International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2012: 285-290.
    [11]

    BRENNER C. Building reconstruction from images and laser scanning [J]. International Journal of Applied Earth Observation and Geoinformation, 2005, 6(3/4):187-198. WEI Y F, DU Zh Ch, YAO Zh Q. Fast triangulation and local optimization for scan data of laser radar. Laser Technology, 2009,33(6):642-644(in Chinese).
    [12]

    CHEN L C, TEO T A, SHAO Y C, et al. Fusion of LiDAR data and optical imagery for building modeling[C]//Proceedings of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2004:732-737.
    [13]

    ROTTENSTEINER F, TRINDER J, CLODE S, et al. Using the empster-shafer method for the fusion of LiDAR data and multi-spectral images for building detection[J]. Information Fusion, 2005, 6(4):283-300.
    [14]

    KIM C, HABIB A. Object-Based integration of photogrammetric and LiDAR data for automated generation of complex polyhedral building models [J]. Sensors, 2009, 9(7):5679-5701.
    [15]

    DEMIR N, BALTSAVIAS E. Automated modeling of 3-D building roofs using image and LiDAR data[C]//Proceedings of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2012: 35-40.
    [16]

    MA H C, YAO C J, WU J W. Registration of LiDAR point clouds and high resolution images based on linear features [J]. Geomatics and Information Science of Wuhan University, 2012,37(2):136-140, 159(in Chinese).
    [17]

    ZHANG F, HUANG X F, LI D R. A review of registration of laser scanner data and optical image [J]. Bulletin of Surveying and Mapping, 2008(2):7-10(in Chinese).
    [18]

    HENRICSSON O, BALTSAVIAS E. 3-D building reconstruction with ARUBA: a qualitative and quantitative evaluation[C]//Proceedings of Automatic Extraction of Man-Made Objects from Aerial and Space Images (Ⅱ). Basel, Switzerland: Birkhauser Verlag, 1997:65-76.
    [19]

    BRENNER C. Towards fully automatic generation of city models[C]//Proceedings of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2000:85-92.
    [20]

    ROTTENSTEINER F. Automatic generation of high-quality building models from LiDAR data[J]. Computer Graphics and Applications, 2003, 23(6):42-50.
    [21]

    VERMA V, KUMAR R, HSU S. 3-D building detection and modeling from aerial LiDAR data[C]//Proceedings of Computer Vision and Pattern Recognition 2006.New York, USA: Institute of Electrical and Electronics Engineers, 2006:2213-2220. YU H X, WU K, AO J F, et al. Extraction of building's feature lines based on 3-D laser scanning technology.Laser Technology, 2012,36(4):553-556(in Chinese).
    [22]

    ZHOU Q Y, NEUMANN U. Fast and extensible building modeling from airborne LiDAR data[C]//Proceedings of 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, USA: Association for Computing Machinery, 2008:7-14.
    [23]

    SAMPATH A, SHAN J. Segmentation and reconstruction of polyhedral building roofs from aerial LiDAR point clouds [J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(3):1554-1567.
    [24]

    VOSSELMAN G, VELDHUIS H. Mapping by dragging and fitting of wire-frame models[J]. Photogrammetric Engineering Remote Sensing, 1999, 65(7):769-776.
    [25]

    TSENG Y H, WANG S. Semiautomated building extraction based on CSG model-image fitting [J]. Photogrammetric Engineering and Remote Sensing, 2003, 69(2):171-180.
    [26]

    TEO T A. Parametric reconstruction for complex building from LiDAR and vector maps using a divide-and-conquer strategy[C]//Proceedings of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2008:133-138.
    [27]

    KADA M, MCKINLEY L. 3-D building reconstruction from LiDAR based on a cell decomposition approach[C]//Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Science. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2009:47-52.
    [28]

    LAFARGE F, DESCOMBES X, ZERUBIA J, et al. Structural approach for building reconstruction from a single DSM[J]. Institute of Electrical and Electronics Engineers Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(1):135-147.
    [29]

    VOSSELMAN G, MAAS H G. Airborne and terrestrial laser scanning [M]. Boca Raton,USA:Chemical Rubber Company Press, 2010: 84-86 .
    [30]

    FAIG W, WIDMER T. Automatic building extraction from aerial mages [C]//Proceedings of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Hannover, Germany: International Society for Photogrammetry and Remote Sensing, 2000:1708-1715.
    [31]

    WANG R. Researtch on data flitering and building-footprint detection of airborne LiDAR [D]. Zhengzhou: People's Liberation Army Information Engineering University, 2008: 30-31(in Chinese).
    [32]

    KWAK E. Automatic 3-D building model generation by integrating LiDAR and aerial images using a hybrid approach [D]. Calgary,Canada: University of Calgary, 2013: 152-153.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article views(3360) PDF downloads(1144) Cited by()

Proportional views

Review of reconstruction of 3-D building models based on airborne lidar

  • 1. Department of Disaster Prevention Engineering, Institute of Disaster Prevention, Sanhe 065201, China;
  • 2. Institute of Architecture and Surveying Mapping, Beijing Polytechnic College, Beijing 100042, China;
  • 3. Shanxi Climate Center, Taiyuan 030002, China

Abstract: Airborne lidar is one of the important reconstruction measures of 3-D building models. Research methods and developing progresses of 3-D building reconstruction based on airborne lidar point cloud data were reviewed. The characteristics and key issues of model-driven, data-driven and hybrid algorithms were analyzed and discussed. The hybrid algorithm integrating the merits of both the other methods is the significant developing trend of 3-D building reconstruction.

Reference (32)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return