A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Anisotropic filter method for complex building extraction from airborne LIDAR data
Building extraction from airborne LIDAR data has gained much focus in recent year. Usually, buildings are reconstructed by combination of facets or line frames detected from points cloud. It is difficult to extract buildings with curve shape using these methods. In the paper, we attempt a novel way to extract building by anisotropic surface noise faring and simplification. A slope based building wall detection with isolate surface area size control is used in detect the building boundary. Points of building are taken out within the boundary. After an anisotropic filtering of surface mesh, facets are detected to simplify the model so as to take fewer store volume. Experiment is given to prove the methods in this paper.
Anisotropic filter method for complex building extraction from airborne LIDAR data
Building extraction from airborne LIDAR data has gained much focus in recent year. Usually, buildings are reconstructed by combination of facets or line frames detected from points cloud. It is difficult to extract buildings with curve shape using these methods. In the paper, we attempt a novel way to extract building by anisotropic surface noise faring and simplification. A slope based building wall detection with isolate surface area size control is used in detect the building boundary. Points of building are taken out within the boundary. After an anisotropic filtering of surface mesh, facets are detected to simplify the model so as to take fewer store volume. Experiment is given to prove the methods in this paper.
Anisotropic filter method for complex building extraction from airborne LIDAR data
Huang, XianFeng (author) / Tao, C. V. (author) / Jiang, WanShou (author) / Gong, JianYa (author)
MIPPR 2005: SAR and Multispectral Image Processing ; 2005 ; Wuhan,China
Proc. SPIE ; 6043
2005-10-31
Conference paper
Electronic Resource
English
Building Feature Extraction from Airborne Lidar Data Based on Tensor Voting Algorithm
| Online Contents | 2011
A hybrid approach to extraction and refinement of building footprints from airborne lidar data
| TIBKAT | 2011
Automatic building outlines detection and approximation from airborne LIDAR data
| British Library Conference Proceedings | 2008