Abstract
Airborne laser scanning data has proven to be a very suitable technique for the determination of digital surface models and is more and more being used for mapping and GIS data acquisition purposes, including the detection and modeling of man-made objects or vegetation. The aim of the work presented here is to segment raw laser scanner data in an unsupervised classification using anisotropic height texture measures. Anisotropic operations have the potential to discriminate between orientated and non-orientated objects. The techniques have been applied to data sets from different laser scanning systems and from different regions, mainly focussing on high-density laser scanner data. The results achieved in these pilot studies show the large potential of airborne laser scanning in the field of 3-D GIS data acquisition.
| Original language | English |
|---|---|
| Title of host publication | 19th International Congress for Photogrammetry and Remote Sensing, 2000 |
| Place of Publication | Amsterdam |
| Publisher | International Society for Photogrammetry and Remote Sensing (ISPRS) |
| Pages | 678-684 |
| Number of pages | 7 |
| Volume | 33 |
| Publication status | Published - 1 Jan 2000 |
| Externally published | Yes |
| Event | 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands Duration: 16 Jul 2000 → 23 Jul 2000 Conference number: 19 |
Publication series
| Name | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
|---|---|
| Publisher | Copernicus |
| ISSN (Print) | 1682-1750 |
Conference
| Conference | 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 |
|---|---|
| Abbreviated title | ISPRS |
| Country/Territory | Netherlands |
| City | Amsterdam |
| Period | 16/07/00 → 23/07/00 |
Keywords
- Airborne laser scanner
- Classification
- Image processing
- Segmentation