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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- Laser & Optoelectronics Progress
- Vol. 62, Issue 2, 0215003 (2025)

Fig. 1. Cloth simulation filtering algorithm principle

Fig. 2. CSF algorithm error principle. (a) Steep slope error; (b) elevation correction error

Fig. 3. Algorithm process chart

Fig. 4. Full point cloud rendering

Fig. 5. The original point cloud maps of the survey area. (a) Test area 1; (b) teat area 2

Fig. 6. Schematic diagrams of the experimental area. (a) Test area 1; (b) test area 2

Fig. 7. Model diagrams of the experimental area. (a) Model of test area 1; (b) model of 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

Fig. 9. Comparison of the average accuracy of the two algorithms

Fig. 10. Comparison results of the proposed algorithm and the CSF algorithm on the ISPRS public dataset
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Table 1. The accuracy of the proposed algorithm, classical CSF algorithm, and partially slope based filtering algorithm
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Table 2. Comparison results of the proposed algorithm and the CSF algorithm on the ISPRS public dataset

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