PDF Download HTML

[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 M_S7.0 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 M_S7.0 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M_S6.4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 M_S6.4 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 M_S7.0 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