LIDAR Point Cloud Data Extraction and Establishment of 3D Modeling of Buildings

被引：1

作者：

Zhang, Yujuan ^{[1
]}

Li, Xiuhai ^{[1
]}

Wang, Qiang ^{[1
]}

Liu, Jiang ^{[1
]}

Liang, Xin ^{[1
]}

Li, Dan ^{[1
]}

Ni, Chundi ^{[1
]}

Liu, Yan ^{[1
]}

机构：

[1] Heilongjiang Inst Technol, Harbin 150050, Heilongjiang, Peoples R China

来源：

5TH ANNUAL INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE AND ENVIRONMENTAL ENGINEERING (MSEE2017) | 2018年 / 301卷

关键词：

SEGMENTATION;

D O I：

10.1088/1757-899X/301/1/012037

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper takes the method of Shepard's to deal with the original LIDAR point clouds data, and generate regular grid data DSM, filters the ground point cloud and non ground point cloud through double least square method, and obtains the rules of DSM. By using region growing method for the segmentation of DSM rules, the removal of non building point cloud, obtaining the building point cloud information. Uses the Canny operator to extract the image segmentation is needed after the edges of the building, uses Hough transform line detection to extract the edges of buildings rules of operation based on the smooth and uniform. At last, uses E3De3 software to establish the 3D model of buildings.

引用

页数：4

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