Author Affiliations
1 University of Chinese Academy of Sciences, Beijing 100049, China2 Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, Chinashow less
Fig. 1. Local space coordinate system of adjacent points
Fig. 2. Classification of bush area. (a) Large scale; (b) small scale
Fig. 3. Classification of building. (a) Large scale; (b) small scale
Fig. 4. Flowchart of multiscale adaptive-feature classification
Fig. 5. Experimental data
Fig. 6. Distribution of feature importance for different feature combinations
Fig. 7. Classification results of different feature sets. (a) Classical geometric statistical feature set; (b) PFH feature set; (c) combinational feature set
Fig. 8. Distribution of feature importance at different scales
Fig. 9. Classification results based on feature set with different scales. (a) Large scale; (b) small scale; (c) multiscale
Fig. 10. Classification results of C area based on feature set with different scales. (a) Large scale; (b) small scale; (c) multiscale
Fig. 11. Classification results of D area based on feature set with different scales. (a) Large scale; (b) small scale; (c) multiscale
Category | Classification of classical geometric statistical feature set /% | Classification of PFH feature set /% | Classification of combinational feature set /% |
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Ground | 93.26 | 93.32 | 93.43 | Vegetable | 91.52 | 90.12 | 91.65 | Building | 90.64 | 92.43 | 92.72 |
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Table 1. Classification accuracy for different feature sets
Scale /m | Classification accuracy /% |
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Ground | Vegetable | Building |
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0.1-1.0 | 95.83 | 95.36 | 94.86 | 0.1 | 85.33 | 86.29 | 79.42 | 0.3 | 92.64 | 94.75 | 82.32 | 0.5 | 86.72 | 89.63 | 85.94 | 0.8 | 82.53 | 87.49 | 89.87 | 1.0 | 78.68 | 82.63 | 92.12 |
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Table 2. Classification accuracy at different scales