Jianqi Miao, Hongtao Wang, Puguang Tian. Airborne Light Detection and Ranging Point Cloud Classification via Graph Convolution and PointNet Integration[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2228003
- Laser & Optoelectronics Progress
- Vol. 59, Issue 22, 2228003 (2022)
Fig. 1. Flow chart of point cloud classification
Fig. 2. Flowchart of local feature extraction. (a) Edge feature extraction; (b) depth feature extraction; (c) local feature extraction
Fig. 3. Training data and test data from Vaihingen dataset.(a) Training data; (b) test data
Fig. 4. Cassification results without graph convolution. (a) Classification results of different features; (b) right and wrong classification comparision
Fig. 5. Cassification results with graph convolution. (a) Classification results of different features; (b) right and wrong classification comparision
| ||||||||||||||||||||||||||||||
Table 1. Classification results of original PointNet and added graph models
| ||||||||||||||||||||||||||||||
Table 2. Influence of shallow features on classification results
| ||||||||||||||||||||||||||||||||||||||
Table 3. Comparison results of different classification methods
| |||||||||||||||||||||||||||||||||||||||||
Table 4. Comparison results of different classification methods
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20