Abstract
This paper presents our work on automated classification of Mobile Laser Scanning (MLS) point clouds of urban scenes with features derived from cylinders around points of consideration. The core of our method consists of spanning up a cylinder around points and deriving features, such as reflectance, height difference, from the points present within the cylindrical neighbourhood. Crucial in the approach is the selection of features from the points within the cylinder. An overall accuracy could be achieved, exploiting two bench mark data sets (Paris-rue-Madame and IQmulus & TerraMobilita) of 83% and 87% respectively.
| Original language | English |
|---|---|
| Title of host publication | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Publisher | ISPRS |
| Pages | 1225-1228 |
| Number of pages | 4 |
| Volume | 42-2 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | ISPRS TC II Mid-term Symposium: Towards Photogrammetry 2020 - Riva del Garda, Italy Duration: 4 Jun 2018 → 7 Jun 2018 |
Conference
| Conference | ISPRS TC II Mid-term Symposium |
|---|---|
| Country/Territory | Italy |
| City | Riva del Garda |
| Period | 4/06/18 → 7/06/18 |
Keywords
- 3D Mapping
- Classification
- Cylindrical Approach
- Feature extraction
- Mobile laser scanning
- Point clouds