Share Email Print
cover

Proceedings Paper

Automatic 3D reconstruction of urban area from low resolution aerial lidar data
Author(s): Yi Zheng; Zhiguo Cao
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

3D urban area model has a variety aspect of application. The most exist methods follows a three step pipeline. In this paper, we follow the pipeline to reconstruct the 3D model of urban area. An improved covariance analysis method is proposed to remove the irrelevant part of LiDAR. This preprocessing method is more robust than the original method for the low resolution LiDAR data. Also, a classification method based on the Markov Random Field on the connected component is proposed in this paper. The experiment shows our method can reconstruct 3D model of urban area from low resolution LiDAR data.

Paper Details

Date Published: 23 November 2011
PDF: 7 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800604 (23 November 2011); doi: 10.1117/12.902985
Show Author Affiliations
Yi Zheng, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top