Infrared and Laser Engineering, Volume. 50, Issue 10, 20200482(2021)
Point cloud semantic segmentation method based on segmented blocks merging
Figures & Tables(12)
Fig. 2. Comparison of semantic segmentation of data 2, data 3, data 4 data 5 and data 6 before and after using the merge strategy
Fig. 5. Comparison of semantic segmentation of data 1, data 2, data 3, data 4, data 5 and data 6 before and after using the merge strategy
Fig. 6. Comparison before and after KNN interpolation optimization
Table 1. 6 sets of data size
View tableView in ArticleTable 1. 6 sets of data size
Item Region1/m Region2/m Region3/m X 102.144 49.873 63.899 Y 25.477 33.699 40.929 Z 29.528 18.742 34.141 Item Region4/m Region5/m Region6/m X 124.013 42.347 91.563 Y 25.068 22.042 32.315 Z 17.065 14.118 33.042
Table 2. Confusion matrix
View tableView in ArticleTable 2. Confusion matrix
Item Ground truth Positive Negative Prediction Positive TP FP Negative FN TN
Table 3. Poles accuracy and recall
View tableView in ArticleTable 3. Poles accuracy and recall
Method Region1 Region2 Region3 Acc Recall Acc Recall Acc Recall Original 6.9% 89.1% 5.4% 81.0% - - Proposed 49.7% 95.2% 100% 87.1% - - Method Region4 Region5 Region6 Acc Recall Acc Recall Acc Recall Original 5.8% 27.8% 61.0% 100% 21.2% 80.3% Proposed 100% 27.8% 100% 100% 100% 80.3%
Table 4. Trees accuracy and recall
View tableView in ArticleTable 4. Trees accuracy and recall
Method Region1 Region2 Region3 Acc Recall Acc Recall Acc Recall Original 62.0% 12.7% 87.9% 76.2% 100% 45.4% Proposed 99.6% 99.9% 99.8% 100% 100% 99.7% Method Region4 Region5 Region6 Acc Recall Acc Recall Acc Recall Original 99.4% 96.2% 100% 98.8% 99.7% 95.1% Proposed 99.4% 100% 100% 100% 99.7% 100%
Table 5. Poles accuracy and recall
View tableView in ArticleTable 5. Poles accuracy and recall
Method Region1 Region2 Region3 Acc Recall Acc Recall Acc Recall Original 42.9% 95.2% 20.4% 87.1% - - Proposed 49.4% 95.2% 100% 87.1% - - Method Region4 Region5 Region6 Acc Recall Acc Recall Acc Recall Original 24.9% 27.8% 61% 100% 33.2% 80.3% Proposed 100% 27.8% 100% 100% 100% 94.4%
Table 6. Trees accuracy and recall
View tableView in ArticleTable 6. Trees accuracy and recall
Method Region1 Region2 Region3 Acc Recall Acc Recall Acc Recall Original 99.6% 97.7% 99.8% 95.4% 100% 99.3% Proposed 99.6% 99.9% 99.8% 100% 100% 99.7% Method Region4 Region5 Region6 Acc Recall Acc Recall Acc Recall Original 99.4% 99.3% 100% 98.8% 99.7% 96.9% Proposed 99.4% 100% 100% 100% 99.9% 100%
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Yunzheng Su, Qun Hao, Jie Cao, Lei Yan, Shuai Wu. Point cloud semantic segmentation method based on segmented blocks merging[J]. Infrared and Laser Engineering, 2021, 50(10): 20200482
Paper Information
Category: Image processing
Received: Dec. 15, 2020
Accepted: --
Published Online: Dec. 7, 2021
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