• Laser & Optoelectronics Progress
  • Vol. 62, Issue 2, 0215003 (2025)
Zhipeng Zhang1,*, Xin Liu1, Tao Shi1, Ershen Wang2, and Kuan He3
Author Affiliations
  • 1Shenyang Power Supply Company, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110052, Liaoning , China
  • 2College of Civil Aviation, Shenyang Aerospace University, Shenyang 110136, Liaoning , China
  • 3College of Mechatronics Engineering, Shenyang Aerospace University, Shenyang 110136, Liaoning , China
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    DOI: 10.3788/LOP240913 Cite this Article Set citation alerts
    Zhipeng Zhang, Xin Liu, Tao Shi, Ershen Wang, Kuan He. Point Cloud Filtering Method for Suburban Areas Based on the Adaptive Local Filter Threshold[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0215003 Copy Citation Text show less
    Cloth simulation filtering algorithm principle
    Fig. 1. Cloth simulation filtering algorithm principle
    CSF algorithm error principle. (a) Steep slope error; (b) elevation correction error
    Fig. 2. CSF algorithm error principle. (a) Steep slope error; (b) elevation correction error
    Algorithm process chart
    Fig. 3. Algorithm process chart
    Full point cloud rendering
    Fig. 4. Full point cloud rendering
    The original point cloud maps of the survey area. (a) Test area 1; (b) teat area 2
    Fig. 5. The original point cloud maps of the survey area. (a) Test area 1; (b) teat area 2
    Schematic diagrams of the experimental area. (a) Test area 1; (b) test area 2
    Fig. 6. Schematic diagrams of the experimental area. (a) Test area 1; (b) test area 2
    Model diagrams of the experimental area. (a) Model of test area 1; (b) model of test area 2
    Fig. 7. Model diagrams of the experimental area. (a) Model of test area 1; (b) model of test area 2
    The results of the proposed algorithm, fabric simulation filtering algorithm, and local slope filtering algorithm. (a) The filtering results of the proposed algorithm in test area 1; (b) the filtering results of the proposed algorithm in test area 2; (c) the filtering results of CSF method in test area 1; (d) the filtering results of CSF in test area 2; (e) the filtering result of local slope filtering in test area 1; (f) the filtering results of local slope filtering in test area 2
    Fig. 8. The results of the proposed algorithm, fabric simulation filtering algorithm, and local slope filtering algorithm. (a) The filtering results of the proposed algorithm in test area 1; (b) the filtering results of the proposed algorithm in test area 2; (c) the filtering results of CSF method in test area 1; (d) the filtering results of CSF in test area 2; (e) the filtering result of local slope filtering in test area 1; (f) the filtering results of local slope filtering in test area 2
    Comparison of the average accuracy of the two algorithms
    Fig. 9. Comparison of the average accuracy of the two algorithms
    Comparison results of the proposed algorithm and the CSF algorithm on the ISPRS public dataset
    Fig. 10. Comparison results of the proposed algorithm and the CSF algorithm on the ISPRS public dataset
    AreaAlgorithmtype Ⅰtype totalKappa
    Testarea 1CSF32.520.2018.7363.74
    Partially slope4.306.465.0488.85
    Proposed algorithm7.330.944.6090.70
    Testarea 1CSF10.074.978.3382.11
    Partially slope8.058.404.9789.96
    Proposed algorithm0.908.523.5192.08
    Table 1. The accuracy of the proposed algorithm, classical CSF algorithm, and partially slope based filtering algorithm
    Fig. No.Algorithmtype Ιtype totalKappa
    Fig. 10(a)Proposed algorithm0.28010.09270.20020.6051
    Fig. 10(b)CSF0.48450.03230.29170.4476
    Fig. 10(c)Proposed algorithm0.01990.04960.03440.9310
    Fig. 10(d)CSF0.07150.02770.05010.8999
    Fig. 10(e)Proposed algorithm0.00580.19680.04820.8511
    Fig. 10(f)CSF0.05850.13990.07660.7834
    Fig. 10(g)Proposed algorithm0.04920.15180.08120.8085
    Fig. 10(h)CSF0.12810.10220.12000.7335
    Table 2. Comparison results of the proposed algorithm and the CSF algorithm on the ISPRS public dataset
    Zhipeng Zhang, Xin Liu, Tao Shi, Ershen Wang, Kuan He. Point Cloud Filtering Method for Suburban Areas Based on the Adaptive Local Filter Threshold[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0215003
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