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Proceedings Paper

Anisotropic filter method for complex building extraction from airborne LIDAR data
Author(s): XianFeng Huang; C. Vincent Tao; WanShou Jiang; JianYa Gong
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Paper Abstract

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.

Paper Details

Date Published: 3 November 2005
PDF: 8 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430P (3 November 2005); doi: 10.1117/12.654857
Show Author Affiliations
XianFeng Huang, Wuhan Univ. (China)
C. Vincent Tao, York Univ. (Canada)
WanShou Jiang, Wuhan Univ. (China)
JianYa Gong, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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