Abstract
In recent years, terrestrial laser scanner (TLS) has become a popular data acquisition tool for producing irregularly-spaced point clouds as well as airborne laser scanning (ALS). Automated detection of structures (roof and ground etc.) based on the point cloud analysis of buildings has become increasingly important. One of the most demanding tasks in TLS is the filtering of the ground and roofs in TLS point clouds. This paper proposes a method for detecting buildings' structures from an irregularly-spaced point-cloud. This method is consisted of segmentation and classification. As the previously developed the segmentation methods can not be applied to it directly, it has to perform twice pre-filtration so as to proceed to further calculation for segmentation and classification. More importantly the algorithm is extensible and future work will further strengthen the algorithm.
| Original language | English |
|---|---|
| Title of host publication | MIPPR 2007 |
| Subtitle of host publication | Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition |
| Volume | 6786 |
| DOIs | |
| Publication status | Published - 1 Dec 2007 |
| Event | MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition - Wuhan, China Duration: 15 Nov 2007 → 17 Nov 2007 |
Conference
| Conference | MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 15/11/07 → 17/11/07 |
Keywords
- Classification
- Point clouds
- Reconstruction
- Segmentation
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering