Laser & Optoelectronics Progress, Volume. 55, Issue 6, 062803(2018)

Registration Method for Airborne and Terrestrial Light Detection and Ranging Point Cloud Based on Laser Intensity Classification

Wang Guo* and Xiaojun Cheng
Author Affiliations
  • College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
  • show less
    References(17)

    [1] Besl P J. McKay N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).

    [2] Rusinkiewicz S, Levoy M. Efficient variants of the ICP algorithm. [C]∥Proceedings of 3 rd International Conference on 3D Digital Imaging and Modeling , 145-152(2001).

    [3] Gelfand N, Mitra N J, Guibas L J et al. Robust global registration. [C]∥Proceedings of Eurographics on Geometry Processing, 2, 197-206(2005).

    [4] Au O K C, Tai C L, Cohen-Or D et al. . Electors voting for fast automatic shape correspondence. [C]∥Proceedings of Eurographics on Computer Graphics Forum, 29, 645-654(2010).

    [6] Chang W, Zwicker M. Automatic registration for articulated shapes. [C]∥Proceedings of the Symposium on Geometry Processing, 27, 1459-1468(2008).

    [7] Von Hansen W. GrossH, Thoennessen U. Line-based registration of terrestrial and airborne LIDAR data[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 161-166(2008).

    [8] Holz D, Behnke S. Registration ofnon-uniform density 3D point clouds using approximate surface reconstruction. [C]∥Proceedings of Joint 45 th International Symposium on Robotics and 8 th German Conference on Robotics , 1-7(2014).

    [11] Fang W, Huang X F, Zhang F et al. Mural image rectification based on correction of laser point cloud intensity[J]. Acta Geodaetica et Cartographica Sinica, 44, 541-547(2015).

    [14] Cheng X L, Cheng X J, Li Q et al. Laser intensity correction of terrestrial 3D laser scanning based on sectional polynomial model[J]. Laser & Optoelectronics Progress, 54, 112802(2017).

    [15] Cheng X J, Guo W, Li Q et al. Joint classification method for terrestrial LiDAR point cloud based on intensity and color information[J]. Chinese Journal of Lasers, 44, 1010007(2017).

    [16] Cheng X J, Cheng X L, Hu M J et al. Buildings detection and contour extraction by the fusion of aerial images and LIDAR point cloud[J]. Chinese Journal of Lasers, 43, 0514002(2016).

    [17] Cordella L P, Foggia P, Sansone C et al. An efficient algorithm for the inexact matching of ARG graphs using a contextual transformational model. [C]∥Proceedings of the 13 th International Conference on Pattern Recognition , 3, 180-184(1996).

    Tools

    Get Citation

    Copy Citation Text

    Wang Guo, Xiaojun Cheng. Registration Method for Airborne and Terrestrial Light Detection and Ranging Point Cloud Based on Laser Intensity Classification[J]. Laser & Optoelectronics Progress, 2018, 55(6): 062803

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 23, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Wang Guo (1983guowang@tongji.edu.cn)

    DOI:10.3788/LOP55.062803

    Topics