• Journal of Geo-information Science
  • Vol. 22, Issue 9, 1868 (2020)
Guangshuai WANG, Yi WAN, and Yongjun ZHANG*
Author Affiliations
  • School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
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    DOI: 10.12082/dqxxkx.2020.190514 Cite this Article
    Guangshuai WANG, Yi WAN, Yongjun ZHANG. Registration of Airborne LiDAR Data and Multi-View Aerial Images Constrained by Junction Structure Features[J]. Journal of Geo-information Science, 2020, 22(9): 1868 Copy Citation Text show less
    Flowchart of the proposed registration method
    Fig. 1. Flowchart of the proposed registration method
    Schematic illustration of the junction structure
    Fig. 2. Schematic illustration of the junction structure
    Projection geometry of the junction structure in two-views
    Fig. 3. Projection geometry of the junction structure in two-views
    Automatic detection of conjugate LiDAR plane points
    Fig. 4. Automatic detection of conjugate LiDAR plane points
    Registration model under constraints of junction structure features
    Fig. 5. Registration model under constraints of junction structure features
    Overview of the image data and LiDAR point cloud for the Guangzhou data set
    Fig. 6. Overview of the image data and LiDAR point cloud for the Guangzhou data set
    Overview of check points for the Ningbo data set
    Fig. 7. Overview of check points for the Ningbo data set
    Measurements of image junction structures for the Guangzhou data set
    Fig. 8. Measurements of image junction structures for the Guangzhou data set
    LiDAR point cloud colored by aerial images for the Guangzhou data set
    Fig. 9. LiDAR point cloud colored by aerial images for the Guangzhou data set
    Comparison of the fitness of LiDAR points to images before and after registration for the Guangzhou data
    Fig. 10. Comparison of the fitness of LiDAR points to images before and after registration for the Guangzhou data
    Comparison of the fitness of LiDAR points to images before and after registration for the Ningbo data
    Fig. 11. Comparison of the fitness of LiDAR points to images before and after registration for the Ningbo data
    Comparison of registration accuracy using thinning point clouds for the Guangzhou data set
    Fig. 12. Comparison of registration accuracy using thinning point clouds for the Guangzhou data set
    Comparison of registration accuracy using thinning point clouds for the Ningbo data set
    Fig. 13. Comparison of registration accuracy using thinning point clouds for the Ningbo data set
    数据集
    航空影像测区位置广州宁波
    航高/m500900
    地面分辨率/m0.0320.048
    像幅大小/pixels10 336×778811 608×8708
    相机数55
    影像总数24151451
    LiDAR点云密度/(pts/m2)1610
    点云间距/m0.250.30
    总点数43 971 09245 154 384
    Table 1. Details of the experimental data
    类别角特征配准方法/m交叉点配准方法/m
    dXYdZdXYdZ
    残差中误差0.0520.1010.0420.058
    残差平均值0.0350.0690.0380.054
    残差最大值0.1260.2490.1160.097
    Table 2. Comparison of registration accuracy for the Guangzhou data set
    类别角特征配准方法/m交叉点配准方法/m
    dXdYdXYdZdXdYdXYdZ
    残差中误差0.0760.0630.1090.1000.0510.0250.0570.063
    残差平均值-0.0310.0020.0890.0620.0450.0030.051-0.044
    残差最大值-0.176-0.1410.1830.2960.096-0.0540.099-0.112
    Table 3. Comparison of check points residuals for the Ningbo data set
    Guangshuai WANG, Yi WAN, Yongjun ZHANG. Registration of Airborne LiDAR Data and Multi-View Aerial Images Constrained by Junction Structure Features[J]. Journal of Geo-information Science, 2020, 22(9): 1868
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