Name
Abstract | ||
|---|---|---|
Recently, the classification of tree species using 3-D point clouds has drawn wide attention in surveys and forestry investigations. This letter proposes a new voxel-based deep learning method to classify tree species in 3-D point clouds collected from complex forest scenes. The proposed method includes three steps: 1) individual tree extraction based on the density of the point clouds; 2) low-lev... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2764938 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Vegetation,Three-dimensional displays,Machine learning,Feature extraction,Training,Forestry,Laser radar | Voxel,Data set,Pattern recognition,Remote sensing,Tree species,Feature extraction,Lidar,Artificial intelligence,Deep learning,Point cloud,Terrestrial laser scanning,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 12 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinhuai Zou | 1 | 0 | 0.34 |
| Ming Cheng | 2 | 54 | 13.93 |
| Cheng Wang | 3 | 218 | 32.63 |
| Yan Xia | 4 | 4 | 2.83 |
| Jonathan Li | 5 | 798 | 119.18 |