Automatic 3D reconstruction of urban area from low resolution aerial LiDAR data

摘要：

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.

关键词： LiDAR 3D reconstruction Markov Random Field

作者: Yi Zheng Zhiguo Cao

作者单位: State Key Lab. of Multi-spectral Information Processing Technology, Inst. for Pattern Recognition & State Key Lab. of Multi-spectral Information Processing Technology, Inst. for Pattern Recognition& A

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-7

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）