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

被引：0
|
作者：
Zheng, Yi [1 ]
Cao, Zhiguo [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & AI, State Key Lab Multispectral Informat Proc Technol, Wuhan 430074, Peoples R China
来源：
MIPPR 2011: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS | 2011年 / 8006卷
关键词：
LiDAR; 3D reconstruction; Markov Random Field;
D O I：
10.1117/12.902985
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
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.
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页数：7
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