Name
Title | ||
|---|---|---|
Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data. |
Abstract | ||
|---|---|---|
The digital mapping of road environment is an important task for road infrastructure inventory and urban planning. Automatic extraction and classification of pole-like objects can remarkably reduce mapping cost and enhance work efficiency. Therefore, this paper proposes a voxel-based method that automatically extracts and classifies three-dimensional (3-D) pole-like objects by analyzing the spatia... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2018.2869801 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Shape,Three-dimensional displays,Laser radar,Vegetation,Data mining,Principal component analysis,Feature extraction | Voxel,Computer vision,Region growing algorithm,Digital mapping,Feature extraction,Lidar,Urban planning,Artificial intelligence,Point cloud,Principal component analysis,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 11 | 1939-1404 |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhizhong Kang | 1 | 55 | 9.15 |
| Juntao Yang | 2 | 3 | 3.15 |
| Ruofei Zhong | 3 | 45 | 18.76 |
| Yongxing Wu | 4 | 1 | 0.39 |
| Zhenwei Shi | 5 | 559 | 63.11 |
| Roderik Lindenbergh | 6 | 8 | 3.43 |