Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake

Masashi Matsuoka; Hiroyuki Miura; Shunichi Koshimura; Yoshihisa Maruyama

Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake

Masashi Matsuoka, Hiroyuki Miura, Shunichi Koshimura, Yoshihisa Maruyama

IRIDeS - Risk Evaluation and Disaster Mitigation Research Division

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the aim of developing a model for estimating building damage from high-resolution synthetic aperture radar (SAR) data at X-band, which is appropriate for Haiti, we propose a regression discriminant function based on damage interpretation dataset in Port-au-Prince, which was seriously affected by the 2010 Haiti earthquake. The function can discriminate damage ranks corresponding to the severe damage ratio of buildings using TerraSAR-X imagery of the disaster area before and after the earthquake. By calculating the difference in and correlation of backscattering coefficient, which were explanatory variables of the regression discriminant function, a normalized likelihood function for the severe damage ratio was developed based on discriminant scores of the regression discriminant function.

Original language	English
Title of host publication	34th Asian Conference on Remote Sensing 2013, ACRS 2013
Publisher	Asian Association on Remote Sensing
Pages	3646-3652
Number of pages	7
ISBN (Print)	9781629939100
Publication status	Published - 2013
Event	34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia Duration: 2013 Oct 20 → 2013 Oct 24

Publication series

Name	34th Asian Conference on Remote Sensing 2013, ACRS 2013
Volume	4

Conference

Conference	34th Asian Conference on Remote Sensing 2013, ACRS 2013
Country/Territory	Indonesia
City	Bali
Period	13/10/20 → 13/10/24

Keywords

Backscattering coefficient
Building damage ratio
Haiti
Likelihood function
TerraSAR-X image

Cite this

@inproceedings{d529dc84b2a64c22bd5728b9168c96ef,

title = "Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake",

abstract = "With the aim of developing a model for estimating building damage from high-resolution synthetic aperture radar (SAR) data at X-band, which is appropriate for Haiti, we propose a regression discriminant function based on damage interpretation dataset in Port-au-Prince, which was seriously affected by the 2010 Haiti earthquake. The function can discriminate damage ranks corresponding to the severe damage ratio of buildings using TerraSAR-X imagery of the disaster area before and after the earthquake. By calculating the difference in and correlation of backscattering coefficient, which were explanatory variables of the regression discriminant function, a normalized likelihood function for the severe damage ratio was developed based on discriminant scores of the regression discriminant function.",

keywords = "Backscattering coefficient, Building damage ratio, Haiti, Likelihood function, TerraSAR-X image",

author = "Masashi Matsuoka and Hiroyuki Miura and Shunichi Koshimura and Yoshihisa Maruyama",

year = "2013",

language = "English",

isbn = "9781629939100",

series = "34th Asian Conference on Remote Sensing 2013, ACRS 2013",

publisher = "Asian Association on Remote Sensing",

pages = "3646--3652",

booktitle = "34th Asian Conference on Remote Sensing 2013, ACRS 2013",

note = "34th Asian Conference on Remote Sensing 2013, ACRS 2013 ; Conference date: 20-10-2013 Through 24-10-2013",

}

Matsuoka, M, Miura, H, Koshimura, S & Maruyama, Y 2013, Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake. in 34th Asian Conference on Remote Sensing 2013, ACRS 2013. 34th Asian Conference on Remote Sensing 2013, ACRS 2013, vol. 4, Asian Association on Remote Sensing, pp. 3646-3652, 34th Asian Conference on Remote Sensing 2013, ACRS 2013, Bali, Indonesia, 13/10/20.

Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake. / Matsuoka, Masashi; Miura, Hiroyuki; Koshimura, Shunichi et al.
34th Asian Conference on Remote Sensing 2013, ACRS 2013. Asian Association on Remote Sensing, 2013. p. 3646-3652 (34th Asian Conference on Remote Sensing 2013, ACRS 2013; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake

AU - Matsuoka, Masashi

AU - Miura, Hiroyuki

AU - Koshimura, Shunichi

AU - Maruyama, Yoshihisa

PY - 2013

Y1 - 2013

N2 - With the aim of developing a model for estimating building damage from high-resolution synthetic aperture radar (SAR) data at X-band, which is appropriate for Haiti, we propose a regression discriminant function based on damage interpretation dataset in Port-au-Prince, which was seriously affected by the 2010 Haiti earthquake. The function can discriminate damage ranks corresponding to the severe damage ratio of buildings using TerraSAR-X imagery of the disaster area before and after the earthquake. By calculating the difference in and correlation of backscattering coefficient, which were explanatory variables of the regression discriminant function, a normalized likelihood function for the severe damage ratio was developed based on discriminant scores of the regression discriminant function.

AB - With the aim of developing a model for estimating building damage from high-resolution synthetic aperture radar (SAR) data at X-band, which is appropriate for Haiti, we propose a regression discriminant function based on damage interpretation dataset in Port-au-Prince, which was seriously affected by the 2010 Haiti earthquake. The function can discriminate damage ranks corresponding to the severe damage ratio of buildings using TerraSAR-X imagery of the disaster area before and after the earthquake. By calculating the difference in and correlation of backscattering coefficient, which were explanatory variables of the regression discriminant function, a normalized likelihood function for the severe damage ratio was developed based on discriminant scores of the regression discriminant function.

KW - Backscattering coefficient

KW - Building damage ratio

KW - Haiti

KW - Likelihood function

KW - TerraSAR-X image

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M3 - Conference contribution

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T3 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013

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EP - 3652

BT - 34th Asian Conference on Remote Sensing 2013, ACRS 2013

PB - Asian Association on Remote Sensing

T2 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013

Y2 - 20 October 2013 through 24 October 2013

ER -

Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake

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Keywords

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