[1]YANG Fan,WEN Chao,FAN Zhiwei,et al.Analysis of the LiDAR Point Cloud Background Values of the Typical,Rural,Residential Houses in Lushan,Sichuan Province[J].Journal of Seismological Research,2024,47(04):579-587.[doi:10.20015/j.cnki.ISSN1000-0666.2024.0044]
Copy

Analysis of the LiDAR Point Cloud Background Values of the Typical,Rural,Residential Houses in Lushan,Sichuan Province

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 47 Number of periods: 2024 04 Page number: 579-587 Column: Public date: 2024-12-01
Title:
Analysis of the LiDAR Point Cloud Background Values of the Typical,Rural,Residential Houses in Lushan,Sichuan Province
Author(s):
YANG Fan1; 2; 3; WEN Chao2; FAN Zhiwei2; LIU Xiaodan2; LI Xiaoli4; LI Zhiqiang4; WANG Xiaoshan1; 2
(1.Hebei Hongshan National Observatory on Thick Sediments and Seismic Hazards,Xingtai 055350,Hebei,China)(2.Hebei Earthquake Agency,Shijiazhuang 050021,Hebei,China)(3.Institute of Geology,China Earthquake Administration,Beijing 100029,China)(4.China Earthquake Networks Center,Beijing 100045,China)
Keywords:
LiDAR;  point cloud;  background value;  typical rural houses;  masonry structure;  the Lushan MS7.0 earthquake
CLC:
P315.94
DOI:
10.20015/j.cnki.ISSN1000-0666.2024.0044
Abstract:
Using a terrestrial laser scanner,we collect the high-precision LiDAR point cloud data of the independent walls of the barely damaged masonry structures of the typical residential houses in rural areas hit by the 2013 Lushan,Sichuan MS7.0 earthquake.Then,on the basis of the standard deviation principle,and using statistical regression method,we process the obtained LiDAR data.We find that the interval of background values of the LiDAR point cloud data is 0-0.45 cm.
References:

杜浩国,林旭川,卢永坤,等.2023.基于遥感影像的震后避难空间快速提取模型研究——以2021年云南漾濞MS6.4地震为例[J].地震研究,46(1):116-127.
Du H G,Lin X C,Lu Y K,et al.2023.Study on the rapid extraction model of post-earthquake shelter sites based on remote sensing images:A case study of the Yangbi MS6.4 earthquake[J].Journal of Seismological Research,46(1):116-127.(in Chinese)
李瑞雪.2019.基于地面LiDAR数据的建筑物立面识别及提取研究[D].赣州:江西理工大学.
Li R X.2019.Research on building facade recognition and extraction based on terrestrial LiDAR data[D].Ganzhou:Jiangxi University of Science and Technology.(in Chinese)
李悦,晁会霞,辛永辉,等.2023.三种河流相对高程模型生成方法对比[J].华南地震,43(1):111-120.
Li Yue,Chao H X,Xin Y H,et al.2023.Comparison of three methods for generating relative elevation models of river[J].South China Journal of Seismology,43(1):111-120.(in Chinese)
李志强,侯建盛,李洋,等.2013.2013 年 4 月 20 日四川芦山 7.0 地震灾害特点分析[J].地震地质,35(2):398-410.
Li Z Q,Hou J S,Li Y,et al.2013.Analysis on the characteristics of the MS7.0 Lushan,Sichuan Province,earthquake hazard on April 20,2013[J].Seismology and Geology,35(2):398-410.(in Chinese)
王斌,周立鹏,李琴.2023.顾及 InSAR 形变特征的斜坡灾害隐患早期识别遥感方法[J].华南地震,43(1):105-110.
Wang B,Zhou L P,Li Q.2023.Remote sensing method for early identification of slope hazards considering InSAR deformation characteristics[J].South China Journal of Seismology,43(1):105-110.(in Chinese)
赵传,张保明,郭海涛,等.2017.基于法向量密度聚类的LiDAR点云屋顶面提取[J].测绘科学技术学报,34(4):393-398.
Zhao C,Zhang B M,Guo H T,et al.2017.Roof extraction using LiAAR point clouds based on normal vector density-based clustering[J].Journal of Geomatics Science and Technology,34(4):393-398.(in Chinese)
杨凡.2022.基于地基LiDAR数据建筑物震害信息定量分析研究[D].北京:中国地震局地质研究所.
Yang F.2022.Quantitative analysis of earthquake building damage Information based on ground-based LiDAR data[D].Beijing:Institute of Geology,China Earthquake Administration.(in Chinese)
张令心,朱柏洁,陶正如,等.2019.九寨沟7.0级地震房屋震害现场调查及其破坏特征[J].地震工程学报,41(4):1053-1059.
Zhang L X,Zhu B J,Tao Z R,et al.2019.Field investigation and failure characteristics of buildings damaged by the 7.0-magnitude earthquake in Jiuzhaigou[J].China Earthquake Engineering Journal,41(4):1053-1059.(in Chinese)
GB 50203—2011,砌体结构工程施工质量验收规范[S].
GB 50203—2011,Code for acceptance of constructional quality of masonry structures[S].(in Chinese)
Jiang H B,Li Q,Jiao Q S,et al.2017.Quantitative extraction of wall cracks information of earthquake damaged buildings based on ground based lidar[C]//IEEE.IEEE IGRASS.Fort Worth:1712-1715.
Jiang H B,Li Q,Jiao Q S,et al.2018.Extraction of wall cracks on earthquake-damaged buildings based on TLS point clouds[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,11(9):3088-3096.
Jiao Q S,Jiang H B,Li Q.2019.Building earthquake damage analysis using terrestrial laser scanning data[J].Advances in Civil Engineering,(11):1-12.
Li D S,Liu J P,Feng L,et al.2020.Terrestrial laser scanning assisted flatness quality assessment for two different types of concrete surfaces[J].Measurement,154:107436.
Liu W,Dong P L,Liu J B,et al.2013.Evaluation of three-dimensional shape signatures for automated assessment of post-earthquake building damage[J].Earthquake Spectra,29(3):897-910.
Makuch M,Gawronek P.2020.3D point cloud analysis for damage detection on hyperboloid cooling tower shells[J].Remote Sensing,12(10):1542-1565.
Vasilakos C,Chatzistamatis S,Roussou O,et al.2018.Terrestrial photogrammetry vs laser scanning for rapid earthquake damage assessment[C]//ISPRS-International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences XLII-3/W4:527-33.Istanbul,Turkey.
Yang F,Wen X T,Wang X S,et al.2021.A model study of building seismic damage information extraction and analysis on ground-based LiDAR data[J].Advances in Civil Engineering,(5):1-14.
Similar References:

Memo

-

Last Update: 2024-08-20

Online：63       Total Traffic Statistics：4822057

Website Copyright：Editorial Office of Journal of Seismological Research
Address：148 Beichen Street, North District of Kunming City, Yunnan, China Tel: 86-0871-3355074