Laser & Optoelectronics Progress, Volume. 59, Issue 10, 1028007(2022)
Airborne LiDAR Point Cloud Classification Based on Attention Mechanism Point Convolutional Network
Fig. 1. Comparison schematic of regular 2D image and point cloud. (a) Image grid; (b) point cloud
Fig. 2. Schematic of point cloud in local area
Fig. 3. U-Net(PointConv) schematic of semantic segmentation of point cloud
Fig. 4. Schematic of attention mechanism module structure
Fig. 5. Point cloud convolutional network based on attention mechanism (PCNNAM)
Fig. 6. GML_DataSetA. (a) Schematic of training set; (b) schematic of test set
Fig. 7. Classification results of test set under different networks and the real distribution diagram of GML_DataSetA data set
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Liyuan Wang, Lihua Fu. Airborne LiDAR Point Cloud Classification Based on Attention Mechanism Point Convolutional Network[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1028007
Category: Remote Sensing and Sensors
Received: Feb. 23, 2021
Accepted: May. 27, 2021
Published Online: May. 16, 2022
The Author Email: Fu Lihua (lihuafu@cug.edu.cn)