Image analysis of measuring building configuration for seismic damage estimation

Liping Huang, Kenji Oguni, Muneo Hori

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A novel methodology of image analysis was designed to assess more quantitative seismic damage estimation at the building level for a city area in which 10-30% of the entire building stock was damaged. The methodology is capable of accurate configuration determination, which forms the kernel part toward seismic damage estimation based on displacement detection. This provides the following advantages. (1) A narrow stripe is extracted around an approximate building configuration in a virtual image generated based on high-resolution geographical information system (GIS) data. Analysis of building edges incorporated by the narrow stripe reduces computation cost and helps better distinguish building edges from background edges, such as trees, shadows, and windows. (2) An edge detection technique combined with a cumulative Gaussian distribution method and a gradient descent searching algorithm is validated. It offers subpixel location accuracy of a configured structure in a two-dimensional (2D) digital image. (3) Given the approximate position, orientation, resolution, view angle, screen distance, and upward pointing vector in the camera coordinate system, a three-dimensional (3D) wireframe city can be presented pre- and postearthquake.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalNatural Hazards Review
Volume14
Issue number1
DOIs
Publication statusPublished - 2013 Feb 1

Fingerprint

image analysis
Image analysis
damages
damage
methodology
Gaussian distribution
Edge detection
digital image
Geographical Information System
Information systems
Cameras
GIS
costs
cost
Costs
measuring
city
detection
distribution
method

Keywords

  • A priori analysis window
  • Building configuration measurement
  • Image analysis
  • Subpixel edge detection
  • Wireframe city construction

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Environmental Science(all)
  • Social Sciences(all)

Cite this

Image analysis of measuring building configuration for seismic damage estimation. / Huang, Liping; Oguni, Kenji; Hori, Muneo.

In: Natural Hazards Review, Vol. 14, No. 1, 01.02.2013, p. 1-10.

Research output: Contribution to journalArticle

@article{82c51c06eada4b4c9a919c4f3f523d2f,
title = "Image analysis of measuring building configuration for seismic damage estimation",
abstract = "A novel methodology of image analysis was designed to assess more quantitative seismic damage estimation at the building level for a city area in which 10-30{\%} of the entire building stock was damaged. The methodology is capable of accurate configuration determination, which forms the kernel part toward seismic damage estimation based on displacement detection. This provides the following advantages. (1) A narrow stripe is extracted around an approximate building configuration in a virtual image generated based on high-resolution geographical information system (GIS) data. Analysis of building edges incorporated by the narrow stripe reduces computation cost and helps better distinguish building edges from background edges, such as trees, shadows, and windows. (2) An edge detection technique combined with a cumulative Gaussian distribution method and a gradient descent searching algorithm is validated. It offers subpixel location accuracy of a configured structure in a two-dimensional (2D) digital image. (3) Given the approximate position, orientation, resolution, view angle, screen distance, and upward pointing vector in the camera coordinate system, a three-dimensional (3D) wireframe city can be presented pre- and postearthquake.",
keywords = "A priori analysis window, Building configuration measurement, Image analysis, Subpixel edge detection, Wireframe city construction",
author = "Liping Huang and Kenji Oguni and Muneo Hori",
year = "2013",
month = "2",
day = "1",
doi = "10.1061/(ASCE)NH.1527-6996.0000086",
language = "English",
volume = "14",
pages = "1--10",
journal = "Natural Hazards Review",
issn = "1527-6988",
publisher = "American Society of Civil Engineers (ASCE)",
number = "1",

}

TY - JOUR

T1 - Image analysis of measuring building configuration for seismic damage estimation

AU - Huang, Liping

AU - Oguni, Kenji

AU - Hori, Muneo

PY - 2013/2/1

Y1 - 2013/2/1

N2 - A novel methodology of image analysis was designed to assess more quantitative seismic damage estimation at the building level for a city area in which 10-30% of the entire building stock was damaged. The methodology is capable of accurate configuration determination, which forms the kernel part toward seismic damage estimation based on displacement detection. This provides the following advantages. (1) A narrow stripe is extracted around an approximate building configuration in a virtual image generated based on high-resolution geographical information system (GIS) data. Analysis of building edges incorporated by the narrow stripe reduces computation cost and helps better distinguish building edges from background edges, such as trees, shadows, and windows. (2) An edge detection technique combined with a cumulative Gaussian distribution method and a gradient descent searching algorithm is validated. It offers subpixel location accuracy of a configured structure in a two-dimensional (2D) digital image. (3) Given the approximate position, orientation, resolution, view angle, screen distance, and upward pointing vector in the camera coordinate system, a three-dimensional (3D) wireframe city can be presented pre- and postearthquake.

AB - A novel methodology of image analysis was designed to assess more quantitative seismic damage estimation at the building level for a city area in which 10-30% of the entire building stock was damaged. The methodology is capable of accurate configuration determination, which forms the kernel part toward seismic damage estimation based on displacement detection. This provides the following advantages. (1) A narrow stripe is extracted around an approximate building configuration in a virtual image generated based on high-resolution geographical information system (GIS) data. Analysis of building edges incorporated by the narrow stripe reduces computation cost and helps better distinguish building edges from background edges, such as trees, shadows, and windows. (2) An edge detection technique combined with a cumulative Gaussian distribution method and a gradient descent searching algorithm is validated. It offers subpixel location accuracy of a configured structure in a two-dimensional (2D) digital image. (3) Given the approximate position, orientation, resolution, view angle, screen distance, and upward pointing vector in the camera coordinate system, a three-dimensional (3D) wireframe city can be presented pre- and postearthquake.

KW - A priori analysis window

KW - Building configuration measurement

KW - Image analysis

KW - Subpixel edge detection

KW - Wireframe city construction

UR - http://www.scopus.com/inward/record.url?scp=84873377538&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873377538&partnerID=8YFLogxK

U2 - 10.1061/(ASCE)NH.1527-6996.0000086

DO - 10.1061/(ASCE)NH.1527-6996.0000086

M3 - Article

AN - SCOPUS:84873377538

VL - 14

SP - 1

EP - 10

JO - Natural Hazards Review

JF - Natural Hazards Review

SN - 1527-6988

IS - 1

ER -