Jianguo Liang, Maolin Chen, Hong Ma. Registration of Terrestrial Laser Scanning Data Based on Projection Distribution Entropy[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131501

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- Laser & Optoelectronics Progress
- Vol. 56, Issue 13, 131501 (2019)

Fig. 1. Point cloud distributions corresponding to different rotation parameters. (a) Correct registration;(b) incorrect registration 1; (c) incorrect registration 2; (d) point cloud distribution of correct registration; (e) point cloud distribution of incorrect registration 1; (f) point cloud distribution of incorrect registration 2

Fig. 2. Relationship between entropy change and rotation angle around z axis. 0° corresponds to space distribution of correct registration

Fig. 3. Three groups of point clouds before and after registration. (a) Dataset 1 before registration; (b) dataset 2 before registration; (c) dataset 3 before registration; (d) dataset 1 after registration; (e) dataset 2 after registration; (f) dataset 3 after registration

Fig. 4. Registration errors caused by view change and structural similarity and symmetry. (a) Incorrect registration caused by view change and structural symmetry; (b) incorrect registration caused by structural similarity; (c) incorrect translation caused by structural similarity; (d) rotation error caused by structural symmetry

Fig. 5. Registration error and time in terms of different tG. (a)(b) S2-S3 of dataset 1; (c)(d) S2-S3 of dataset 2; (e)(f) S1-S2 of dataset 3

Fig. 6. Density change experiments corresponding to different sampling ratios
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Table 1. Basic information of datasets
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Table 2. Distances between adjacent station positions and registration order
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Table 3. Registration error
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Table 4. Registration results of dataset 1
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Table 5. Registration results of dataset 2
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Table 6. Registration results of dataset 3
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Table 7. Registration mean root errors corresponding to different tilted angles

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