• Laser & Optoelectronics Progress
  • Vol. 55, Issue 6, 062803 (2018)
Wang Guo* and Xiaojun Cheng
Author Affiliations
  • College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
  • show less
    DOI: 10.3788/LOP55.062803 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    References

    [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).

    [5] Aiger D, Mitra N J, Cohen-Or D. 4-points congruent sets for robust pairwise surfaceregistration[J]. ACM Transactions on Graphics, 27, 85(2008). http://dl.acm.org/citation.cfm?id=1360684

    [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).

    [9] Cheng L, Tong L H, Li M C et al. Semi-automatic registration of airborne and terrestrial laser scanning data using building corner matching with boundaries as reliability check[J]. Remote Sensing, 5, 6260-6283(2013). http://www.oalib.com/paper/3098238

    [10] Yang B S, Zang Y F, Dong Z et al. An automated method to register airborne and terrestrial laser scanning point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 109, 62-76(2015). http://www.sciencedirect.com/science/article/pii/S0924271615001975

    [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).

    [12] Anttila K, Hakala T, Kaasalainen S et al. Calibrating laser scanner data from snow surfaces: Correction of intensity effects[J]. Cold Regions Science and Technology, 121, 52-59(2016). http://www.researchgate.net/publication/283806537_Calibrating_laser_scanner_data_from_snow_surfaces_Correction_of_intensity_effects

    [13] Tan K, Cheng X J. Intensity data correction based on incidence angle and distance for terrestrial laser scanner[J]. Journal of Applied Remote Sensing, 9, 094094(2015). http://proceedings.spiedigitallibrary.org/article.aspx?articleid=2436560&resultClick=1

    [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).

    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