Anisotropic filter method for complex building extraction from airborne LIDAR data

XianFeng Huang; C. Vincent Tao; WanShou Jiang; JianYa Gong

doi:10.1117/12.654857

3 November 2005 Anisotropic filter method for complex building extraction from airborne LIDAR data

XianFeng Huang, C. Vincent Tao, WanShou Jiang, JianYa Gong

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430P (2005) https://doi.org/10.1117/12.654857
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

XianFeng Huang, C. Vincent Tao, WanShou Jiang, and JianYa Gong "Anisotropic filter method for complex building extraction from airborne LIDAR data", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430P (3 November 2005); https://doi.org/10.1117/12.654857

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